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Revolutionizing industrial efficiency : How cobots are solving manufacturing challenges | Blog

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In the ever-evolving world of manufacturing, new technologies are constantly emerging to improve efficiency and productivity. One such technology that has gained significant traction in recent years is collaborative robotics, often referred to as “cobots”. Cobots are designed to work alongside humans, assisting them in various tasks and revolutionizing the manufacturing industry. Unlike traditional industrial robots, which are typically designed to work in isolation, cobots are built with advanced sensors and programming that allow them to interact and collaborate with human workers.

The challenges in traditional manufacturing processes

Traditional manufacturing processes often face a myriad of challenges that can hinder productivity and efficiency. One of the major challenges is the need for repetitive and mundane tasks that are not only time-consuming but also prone to errors. These tasks, when performed by human workers, can lead to fatigue and decreased motivation, which in turn affects the overall quality of the products. Additionally, traditional industrial robots, while efficient in certain tasks, lack the ability to adapt to dynamic environments and work alongside humans seamlessly.

How cobots are revolutionizing the manufacturing industry

Cobots are transforming the manufacturing industry by addressing the challenges faced in traditional manufacturing processes. With their ability to work collaboratively with human workers, cobots are streamlining production lines, improving efficiency, and reducing errors. These robots can take on repetitive and mundane tasks, allowing human workers to focus on more complex and value-added activities. Cobots can also be easily programmed and reprogrammed to adapt to changing production needs, making them highly flexible and versatile.

Another key advantage of cobots is their ability to enhance the safety of manufacturing operations. The advanced sensors and safety features in cobots enable them to detect the presence of humans and adjust their movements accordingly, minimizing the risk of accidents and injuries. This collaborative nature of cobots ensures a harmonious working environment where humans and robots can work side by side without compromising safety.

Benefits of using cobots in manufacturing

The adoption of cobots in manufacturing comes with a multitude of benefits. Firstly, cobots significantly increase productivity by reducing cycle times and optimizing resource utilization. With their ability to work 24/7, cobots can operate continuously without the need for breaks or rest, leading to higher production output. Moreover, cobots can perform tasks with precision and consistency, resulting in improved product quality and reduced waste.

Cobots also offer cost savings for manufacturers. Compared to traditional industrial robots, cobots are more affordable, making them accessible to small and medium-sized enterprises. Additionally, cobots require minimal infrastructure and can be easily integrated into existing production systems, eliminating the need for major facility modifications. With their user-friendly interfaces and intuitive programming, cobots can be operated and maintained by existing staff, reducing the need for specialized training and additional workforce.

Implementing cobots in your manufacturing facility

Integrating cobots into your manufacturing facility requires careful planning and consideration. Firstly, it is essential to identify the tasks that can be automated and benefit from cobot collaboration. Conduct a thorough analysis of your production processes to determine which tasks are repetitive, time-consuming, and prone to human error. Once identified, these tasks can be assigned to cobots, freeing up human workers for more complex and critical activities.

When implementing cobots, it is important to provide proper training to your workforce. While cobots are designed to be user-friendly, training your employees on how to interact and collaborate with cobots will ensure a smooth transition and maximize the benefits of cobot integration. Additionally, it is crucial to establish clear safety protocols and guidelines to ensure the well-being of your employees. Regular maintenance and inspection of cobots should also be conducted to ensure optimal performance and longevity.

Training and safety considerations for working with cobots

Working with cobots requires a shift in mindset and approach. Employees need to understand the capabilities and limitations of cobots to effectively collaborate with them. Providing comprehensive training on cobot operation, programming, and troubleshooting will empower your workforce to work alongside cobots seamlessly. It is also important to establish open lines of communication between human workers and cobots, fostering a sense of trust and collaboration.

Safety considerations are paramount when working with cobots. Conduct a thorough risk assessment of your manufacturing processes to identify potential hazards and implement necessary safety measures. This may include installing safety barriers, implementing emergency stop systems, and providing personal protective equipment. Regular safety training sessions should be conducted to ensure that employees are aware of the safety protocols and guidelines when working with cobots.

Future trends and advancements in collaborative robotics

As technology continues to advance, the future of collaborative robotics holds immense potential. The ongoing development of artificial intelligence and machine learning is expected to enhance the capabilities of cobots, enabling them to learn and adapt to new tasks more efficiently. This will further improve productivity and flexibility in manufacturing processes.

Another future trend in collaborative robotics is the integration of cobots with other emerging technologies such as the Internet of Things (IoT) and cloud computing. This integration will enable real-time data exchange and remote monitoring of cobots, allowing for predictive maintenance and optimization of production processes. Cobots will become an integral part of smart factories, contributing to the overall digital transformation of the manufacturing industry.

Conclusion: The Future of Manufacturing with Cobots

Cobots are revolutionizing the manufacturing industry by addressing the challenges faced in traditional manufacturing processes. Their ability to collaborate with human workers, improve efficiency, enhance safety, and reduce costs make them invaluable assets in modern manufacturing facilities. By integrating cobots into production lines and providing the necessary training and safety considerations, manufacturers can unlock the full potential of cobots and pave the way for a more productive and sustainable future of manufacturing.

 

Embrace the power of cobots and transform your manufacturing processes. Contact us today to learn more about how cobots can revolutionize your production lines.

Anbot’s Haiku Surprises with Intelligence Price Hike

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Claude 3.5 Haiku: A New AI Language Model with a Higher Price Tag

A Disappointing Surprise

Speaking of Opus, Claude 3.5 Opus is nowhere to be seen, as AI researcher Simon Willison noted to Ars Technica in an interview. “All references to 3.5 Opus have vanished without a trace, and the price of 3.5 Haiku was increased the day it was released,” he said. “Claude 3.5 Haiku is significantly more expensive than both Gemini 1.5 Flash and GPT-4o mini—the excellent low-cost models from Anthropic’s competitors.”

Cheaper over time?

So far in the AI industry, newer versions of AI language models typically maintain similar or cheaper pricing to their predecessors. The company had initially indicated Claude 3.5 Haiku would cost the same as the previous version before announcing the higher rates.

“I was expecting this to be a complete replacement for their existing Claude 3 Haiku model, in the same way that Claude 3.5 Sonnet eclipsed the existing Claude 3 Sonnet while maintaining the same pricing,” Willison wrote on his blog. “Given that Anthropic claim that their new Haiku out-performs their older Claude 3 Opus, this price isn’t disappointing, but it’s a small surprise nonetheless.”

Trade-offs and Limitations

Claude 3.5 Haiku arrives with some trade-offs. While the model produces longer text outputs and contains more recent training data, it cannot analyze images like its predecessor. Alex Albert, who leads developer relations at Anthropic, wrote on X that the earlier version, Claude 3 Haiku, will remain available for users who need image-processing capabilities and lower costs.

Availability and Use Cases

The new model is not yet available in the Claude.ai web interface or app. Instead, it runs on Anthropic’s API and third-party platforms, including AWS Bedrock. Anthropic markets the model for tasks like coding suggestions, data extraction and labeling, and content moderation, though, like any LLM, it can easily make stuff up confidently.

Conclusion

Is it good enough to justify the extra spend? It’s going to be difficult to figure that out,” Willison told Ars. “Teams with robust automated evals against their use-cases will be in a good place to answer that question, but those remain rare.”

FAQs

Q: What is the main difference between Claude 3.5 Haiku and its predecessor?

A: Claude 3.5 Haiku produces longer text outputs and contains more recent training data, but it cannot analyze images like its predecessor.

Q: Why did Anthropic increase the price of Claude 3.5 Haiku?

A: The company had initially indicated Claude 3.5 Haiku would cost the same as the previous version before announcing the higher rates.

Q: Is Claude 3.5 Haiku available in the Claude.ai web interface or app?

A: No, the new model is not yet available in the Claude.ai web interface or app. Instead, it runs on Anthropic’s API and third-party platforms, including AWS Bedrock.

Q: What are the use cases for Claude 3.5 Haiku?

A: Anthropic markets the model for tasks like coding suggestions, data extraction and labeling, and content moderation.

SmartThings Blog

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At SmartThings, our mission is to enhance smart home experiences for users around the globe. Recently, we’ve zeroed in on smart door locks, developing innovative solutions that offer users simplicity and security for what matters most.

Did you know the smart door lock industry is a booming $2.9 billion market, growing at 19.2% per year? With over 500,000 door locks already connected to SmartThings, including from partners like Yale, Schlage, U-tec, Aqara, and Nuki, we’re committed to expanding this growth by providing enhanced tools and resources for our partners to better serve you.

Read on to learn what’s new.  

SmartThings supports  Matter and Aliro standards for door locks

SmartThings is an active supporter of the Matter standard, and has been certified for the door lock specifications from Matter 1.2 up to the latest version 1.3—with plans for future certification of version 1.4 when it releases. 

Nuki, one of our door lock partners, shares more on SmartThings and the Matter standard: 

“Nuki was among the pioneers in launching a Smart Lock with Matter-over-Thread fully integrated into the product… We recognized the importance of adding SmartThings to our portfolio. The Matter integration with WWST proved to be the perfect opportunity to enhance our offerings.” –Nuki

We are also adopting the Aliro standard for Samsung Wallet’s Digital Home Key—coming in 2025. This means you can use your smartphone or smartwatch to effortlessly access your home, office, or any location with compatible locks.

Guided by global technology standards, we enable quick integration of devices with our door lock partners, ensuring users get the best experience possible.

SmartThings supports Integration for Any Type of Door Lock 

We’re continuing to enhance our platform to support multiple connection types including:

  • Matter connected devices
  • Bluetooth Low Energy (BLE)
  • Cloud-connected locks

For our door lock partners, our SmartThings Developer Center offers a Device SDK, Test Suite, and Specification Document to simplify the integration process. Nuki shares how easy it was to integrate with SmartThings and the additional markets it opens up for customers to buy their products. 

We were genuinely impressed with how seamlessly we obtained the Works with SmartThings (WWST) certification. The support from our Samsung partner was outstanding, making the entire process incredibly smooth. This certification not only boosts our credibility within the smart home ecosystem but also positions us strongly as we expand into new markets like the USA.” – Nuki 

Additionally, you can easily find and purchase compatible products through the SmartThings platform, making the smart home journey even smoother. Our supported devices list provides users with the most up-to-date Works with SmartThings (WWST) certified products.

SmartThings Prioritizes Security 

User safety and privacy are our top priorities. Ensuring user safety, the Digital Home Key operates based on embedded Secure Element (eSE) to keep sensitive user data secure. Plus users’ digital PIN is neither stored nor managed on the SmartThings platform. To prevent security threats, we have collaborated with our partners to enhance the security features of door locks. 

SmartThings Calm Onboarding with Door Locks 

SmartThings aims to provide a seamless user experience from start to finish by automatically enabling a door lock’s key features. With the SmartThings Calm Onboarding experience, the Digital Home Key is activated automatically during setup, so users can begin using it without extra configuration. 

Smart door locks bring unparalleled convenience and peace of mind to users. Beyond traditional PIN codes, you can unlock doors using fingerprint recognition, or easily enter via smartphone or smartwatch. If you own a Galaxy device with Ultra-Wide Band(UWB) technology, the door will open automatically as you approach.

During the onboarding process, a default notification is enabled to inform you who opened the door. This ensures you receive the most relevant alerts tailored to your needs while maintaining control over your smart home experience.

Personalize Your Smart Home with Routines

With SmartThings routines, you can create a tailored experience based on who arrives at your door. Imagine coming home to soft lighting and your favorite music playing, all triggered by your arrival. You can automate interactions between your smart door lock and any other compatible SmartThings devices.

Explore our smart door lock partners at Partners.SmartThings.com and discover integration tools at Developer.SmartThings.com.

Public Attitudes towards Data and AI

Today marks the publication of the third wave of the Centre for Data Ethics and Innovation (CDEI) Public Attitudes to Data and AI tracker survey.

Background to the Survey

Data-driven technologies, including AI, have unique potential to improve people’s lives. To maximise these benefits however, it is crucial that we engage with the people who will be affected to understand how they want these innovative technologies to be used and regulated. It is only through this engagement that we can understand the conditions that data-driven technologies need to meet in order to secure public trust and make the most of the available opportunities.

Key Findings

AI is already changing the way we live and work for the better. It’s behind many products and services that improve our day-to-day lives, whether that’s our streaming services recommending new albums and TV shows we might enjoy, or our email provider filtering out spam​. Our latest survey findings demonstrate that the UK public increasingly recognises the impact of data-driven technology, including AI, on our lives.

Following the emergence of large language models (LLMs) into public view in late 2022, self-reported awareness of AI has increased significantly: our 2023 tracker finds that 95% of people have heard of AI (compared with 89% the previous year), and 66% feel able to explain what it is, at least partially (compared with 56% the previous year). Across the board we see that the public has high hopes for AI to increase convenience, make goods and services more affordable, and to improve public services such as education, healthcare, and policing. More broadly, the public increasingly recognises the transformative power of data use to tackle what are seen as the greatest issues facing society: healthcare, the cost of living, and the economy.

Public Perceptions of AI

However, in line with other research, we also found that people’s comfort with the use of AI is greatly dependent on the specific context. For example, the public are positive regarding the application of AI to detect cancer from a scan, but less so regarding the use of AI to mark students’ homework. Perceptions of the need for AI governance also vary considerably by sector; with a substantial proportion of the public prioritising careful management of AI used in healthcare (29%), by the military (27%), or in banking and finance (25%).

Risks and Concerns

These preferences are underpinned by the public’s increasing awareness of risks associated with data-driven technology. Most notably, there is widespread concern that AI will displace jobs, particularly among non-graduates, that AI will erode human creativity and problem-solving skills, and about AI’s potential impact on fairness in society. More broadly, there is heightened public concern around insecure data storage leading to hacking or data theft. It’s possible that this concern can be attributed to a heightened awareness of negative media stories around data, particularly on the topic of data breaches and leaks.

Next Steps

We have published a report on the survey findings along with a summary infographic. The full data tables are also available to download in line with our commitment to transparency. The findings from the tracker survey will continue to underpin the government’s approach to AI and data. We will also continue to publicise the research across industry and civil society to ensure public voices are amplified in the wider AI discussion.

Methodology

The methodology across all three waves of the tracker survey has remained consistent to enable us to compare data points year on year. The survey comprises an online component which completed by a nationally representative sample of 4,000 UK residents, as well as an additional telephone component conducted with 200 UK residents with very low digital familiarity. This enables us to include the voices of individuals who may not have been able to otherwise participate in this survey. It also aids us by capturing a wider range of opinions on the topics of data and AI from groups that may be differentially impacted by the issues.

Conclusion

The CDEI’s Public Attitudes to Data and AI tracker survey provides a valuable insight into the UK public’s attitudes towards the use of data and AI in society. The survey highlights the importance of engaging with the public to understand their concerns and expectations around these emerging technologies. The findings will inform the government’s approach to AI and data, and will continue to play a crucial role in shaping the development of these technologies.

FAQs

Q: What is the purpose of the Public Attitudes to Data and AI tracker survey?

A: The purpose of the survey is to monitor changes in public attitudes towards the use of data and AI in society, and to inform the government’s approach to AI and data.

Q: How is the survey conducted?

A: The survey is conducted online and by telephone, with a nationally representative sample of 4,000 UK residents, as well as an additional 200 UK residents with very low digital familiarity.

Q: What are the key findings of the survey?

A: The key findings of the survey include an increase in public awareness of AI, high hopes for AI to improve public services and tackle societal issues, and concerns around AI’s potential impact on jobs, creativity, and fairness in society.

Q: How will the findings of the survey be used?

A: The findings of the survey will inform the government’s approach to AI and data, and will continue to play a crucial role in shaping the development of these technologies.

ChatGPT Insights from the Experts

Ever since the chat bot ChatGPT burst into public view in late 2022, students, professors and administrators have been woozy from a chaotic cocktail of excitement, uncertainty and fear.

The artificial intelligence language model was released by OpenAI and is currently offered free as a research preview. It interacts with users in a conversational way, including by answering questions, admitting its mistakes, challenging falsehoods and rejecting inappropriate requests such as, “Tell me about when Christopher Columbus came to the U.S. in 2015.”

Be Deliberate. Adjust Quickly.

Nancy Gleason, associate professor of practice of political science and director of the Hilary Ballon Center for Teaching and Learning, New York University, Abu Dhabi

We cannot ban AI aids. But we also should not use them for all assignments. We can teach students that there is a time, place and a way to use GPT3 and other AI writing tools. It depends on the learning objectives.

Don’t Abandon Pencil and Paper.

Michael Mindzak, assistant professor in the department of educational studies, Brock University

For some assessments, professors may need to revert to traditional forms of teaching, learning and evaluation, which can be viewed as more human-centric.

Question How Writing Is Taught.

Steve Johnson, senior vice president for innovation, National University

Resist asking conservative questions such as, “How can we minimize negative impacts of AI tools in writing courses?” Instead, go big. How do these tools allow us to achieve our intended outcomes differently and better? How can they promote equity and access? Better thinking and argumentation? How does learning take place in ways we haven’t experienced before?

Think a Few Years Out.

Ted Underwood, professor of information sciences and English and associate dean of academic affairs in the School of Information Sciences, University of Illinois at Urbana-Champaign

ChatGPT is free and easy to use, so recent conversations often use it as shorthand for the whole project of language modeling. That’s understandable, but we should be thinking more broadly. The free demonstration period will end. When it does, students and teachers may migrate to a different model. Language models will also continue to develop. By 2024, we are likely to see models that can cite external sources to back up their claims. Prototypes of that kind already exist.

Delegate Responsibilities.

Mina Lee, doctoral student in computer science, Stanford University

Teachers can oversee the selection of appropriate langu… support to fulfill their responsibilities. Remember that the goal is to share responsibility, not lay blame. Not everyone has the same level of expertise or experience. Work together to ensure the safe, responsible and beneficial use of AI writing tools.

Identify and Reveal Shortcomings.

Anna Mills, English instructor, College of Marin

ChatGPT’s plausible outputs are often not solid foundations for scaffolding. If we direct students to AI writing tools for some learning purpose, we should teach critical AI literacy at the same time. We can emphasize that language models are statistical predictors of word sequences; there is no understanding or intent behind their outputs. But warning students about the mistakes that result from this lack of understanding is not enough. It’s easy to pay lip service to the notion that AI has limitations and still end up treating AI text as more reliable than it is. There’s a well-documented tendency to project onto AI; we need to work against that by helping students practice recognizing its failings.

Remind Students to Think.

Johann N. Neem, professor of history, Western Washington University

With ChatGPT, a student can turn in a passable assignment without reading a book, writing a word or having a thought. But reading and writing are essential to learning. They are also capacities we expect of college graduates.

Invite Students Into the Conversation.

Paul Fyfe, associate professor of English and director of the graduate certificate in digital humanities, North Carolina State University

Higher ed professionals are asking how ChatGPT will affect students or change education. But what do students think? How or why would they use it? And what’s it like when they try?

Experiment. Don’t Panic.

Robert Cummings, an associate professor of writing and rhetoric; Stephen Monroe, chair and assistant professor of writing and rhetoric; and Marc Watkins, lecturer in composition and rhetoric, all at the University of Mississippi

Channel anxiety over ChatGPT into productive experimentation. We built a local team of writing faculty to engage with the tools and to explore pedagogical possibilities. We want to empower our students as writers and thinkers and we know that AI will play a role in their futures. How can we deploy AI writing protocols ethically and strategically within our curricula? Can these tools help underprepared learners? Do some tools work better than others in the classroom? We’re at the early stages of investigating these kinds of questions. Our advice centers around some main ideas.

Conclusion

As the chat bot ChatGPT continues to evolve and gain popularity, it is essential for educators to be aware of its potential impact on teaching and learning. By embracing experimentation and critical thinking, educators can harness the power of AI to enhance student learning outcomes while also promoting responsible use of these tools.

FAQs

Q: What is ChatGPT?
A: ChatGPT is a free AI language model released by OpenAI that interacts with users in a conversational way, including by answering questions, admitting its mistakes, challenging falsehoods and rejecting inappropriate requests.

Q: How can educators use ChatGPT in the classroom?
A: Educators can use ChatGPT to enhance student learning outcomes by teaching critical AI literacy, encouraging students to think critically about AI-generated content, and experimenting with AI writing tools to promote responsible use.

Q: What are the potential risks of using ChatGPT in the classroom?
A: The potential risks of using ChatGPT in the classroom include widespread cheating, lack of critical thinking, and overreliance on AI-generated content.

Q: How can educators mitigate these risks?
A: Educators can mitigate these risks by teaching critical AI literacy, encouraging students to think critically about AI-generated content, and experimenting with AI writing tools to promote responsible use.

Explaining Fantasy Football Trades with IBM Granite Models

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Unlocking Insights for Fantasy Football Teams with AI-Generated Grades and Explainability

The National Football League (NFL) generates an enormous amount of data, with over 1,700 players participating in 272 games, making it challenging for fantasy football team owners to make informed decisions. The ESPN Fantasy app, which engages 12 million users each year, has partnered with IBM to infuse its fantasy football experience with AI-generated insights that help users make more informed decisions.

Personalized Player Grades and Why

For the past eight years, IBM has collaborated with ESPN to develop a system that provides personalized player grades to help fantasy owners of all skill levels make better decisions. These grades are based on a variety of factors, including the player’s raw performance, their strengths and weaknesses, and how they will complement a user’s fantasy roster.

Making the Grades

The grading system uses a rules-based system in combination with machine learning models to generate grades. The process begins by calculating raw grades based on various factors, including the number of leagues that own a player, the percentage of leagues that start the player, and the player’s projected seasonal stats.

Personalized Analysis at Scale

To provide personalized analysis, IBM’s team needs application personalizes these grades specific to a user’s team every 10 minutes. The application considers the user’s roster, league, and specific settings to deliver customized grades. This process requires significant scalability, as the app receives thousands of hits per second, which are scaled out across pods on a Red Hat OpenShift cluster.

Personalized Explainability at Scale

To provide users with a clear understanding of the reasoning behind the AI-generated grades, IBM has introduced a new feature that unpacks the reasoning behind the grades. When a user taps on a player to acquire or trade, a list of "Top Contributing Factors" appears alongside the numerical grade, providing a personalized explainability in natural language generated by the IBM Granite large language model (LLM).

Conclusion

The combination of AI-generated grades and explainability provides fantasy football team owners with a more informed decision-making process. As in real-world organizations, managers of fantasy football teams need clarity about the "why" behind AI-generated output. The Top Contributing Factors provide explanations based not just on a player’s raw performance but also on the specific ways in which they will complement a user’s fantasy roster.

FAQs

Q: What is the purpose of the grading system?
A: The grading system is designed to help fantasy football team owners make more informed decisions by providing personalized grades based on a variety of factors, including a player’s raw performance, strengths and weaknesses, and how they will complement a user’s fantasy roster.

Q: How does the grading system work?
A: The grading system uses a rules-based system in combination with machine learning models to generate grades. The process begins by calculating raw grades based on various factors, including the number of leagues that own a player, the percentage of leagues that start the player, and the player’s projected seasonal stats.

Q: What is the purpose of the Top Contributing Factors feature?
A: The Top Contributing Factors feature provides explanations based on a player’s raw performance and how they will complement a user’s fantasy roster, giving users a clear understanding of the reasoning behind the AI-generated grades.

Q: How does the team needs application work?
A: The team needs application personalizes grades specific to a user’s team every 10 minutes, considering the user’s roster, league, and specific settings to deliver customized grades.

Q: What is the IBM watsonx AI platform?
A: The IBM watsonx AI platform is a comprehensive platform that helps organizations collect, store, and analyze data, providing timely, up-to-date insights with fine-grained contextual detail.

The Best Black Friday Roborock Deals

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Roborock Introduced Me to the Wondrous World of Robot Vacuums

Roborock introduced me to the wondrous world of robot vacuums almost six years ago when few companies offered 2-in-1 robot vacuum mops. I’d just had my second baby and was looking for a way to check some chores off my list without breaking my back or taking away my already-divided attention from my very little ones. So I spent a couple hundred dollars on a Roborock E2 during a Black Friday sale.

Since then, I’ve had another kid, moved states, lived in several houses, gotten a dog, and even became a robot vacuum tester — all with that Roborock in tow. But also since then, robot vacuum and mop combinations have boomed, taking what started as a dripping microfiber pad dragged along your floors behind the vacuum and transforming into self-washing rotating mop pads, self-washing mop rollers, and self-emptying robots.

This large offering of products has flooded the robot vacuum market, making it harder for buyers to choose the right one. With many discounts available as we approach the holiday season, I’m rounding out the best Roborock deals so you, like me, can have your own Roborock become part of your family for years to come.

Our Favorite Early Roborock Deals for Black Friday 2024

  • Current price: $380
  • Original price: $870

For a limited time, you can snag the Roborock Q7 Max+ at a 57% discount for $380. As a vacuum mop combo, this machine features 4,200Pa suction power and 300g mopping pressures, promising a smooth and efficient clean. With its self-empty dock, you can have hands-free vacuuming for up to seven weeks. Thanks to Roborock’s PreciSense LiDAR Navigation, you can rest assured that this robot vacuum will clean where it’s supposed to and when it’s supposed to.

Other Roborock Deals

  • Current price: $280
  • Original price: $400

The Roborock Flexi Lite is a great wet/dry cordless vacuum and mop that can tackle both wet and dry messes. It may sound too good to be true, but I assure you it’s real. Thanks to a self-propelled system, the Flexi Lite is easy to push around your floors and can pick up spilled milk, crumbs, pet hair, juice, and anything else that fits its nozzle.

  • Current price: $1,400
  • Original price: $1,600

One of the best two-in-one machines on the market, the Roborock S8 Max Ultra is now $1,400. It’s a pretty penny, but the simplicity and efficiency make this robot worth the money. You could fill the clean water tank, empty the dirty water tank, and set a schedule to tackle your home without having to do anything for a couple of days. Even then, all I had to do was refill and empty the tanks. Having freshly vacuumed and mopped floors daily is a big win.

FAQs

When is Black Friday?

Black Friday is a big shopping event that happens each year on the day after Thanksgiving. This year, Black Friday is on Nov. 29.

When is Cyber Monday?

Cyber Monday happens on the Monday following the Thanksgiving holiday. This year, Cyber Monday is on Dec. 2.

Are Roborock deals really better on Black Friday?

Robot vacuums are cheaper during big shopping events like Black Friday, Cyber Monday, and Amazon Prime Day. The fact that Black Friday is one of the last major shopping events of the year results in some retailers giving big discounts on the current product stock in preparation for new devices launching in the new year.

What’s the difference between Black Friday and Cyber Monday?

Though there are now many online deals, Black Friday has been historically a mostly in-person shopping event where people visit a brick-and-mortar store. With most big box stores featuring an online store, Black Friday online shopping has become as common as Amazon Prime Day shopping. Cyber Monday began and remains an online shopping event for online stores to capitalize on customers who may have missed a Black Friday deal and can shop from home or work on Monday.

How did we choose these Black Friday deals?

As a robot vacuum tester at ZDNET, I’ve become familiar with these devices’ unique features and tested various models in every price range. This experience has made me realize that the robot vacuum market is saturated with competition. It also helps me discern which robot vacuums are worth their retail price and when a discount is a good deal.

I check robot vacuum deals often, always choosing the ones that deliver the most features for the least money. Using our expertise and different tools to track deals, we can determine when a deal is worth it and ensure we only cover those. This list of deals will be updated as new deals appear and others sell out.

Where can you shop the best Black Friday and Cyber Monday deals?

While retailers hold store-specific shopping events throughout the year, like Amazon with Prime Day, you can expect Black Friday and Cyber Monday deals to appear everywhere. This includes your local businesses and big box stores. Black Friday is a huge shopping event, both in-person and online, with stores like Walmart, Best Buy, Amazon, Target, Costco, and more offering eye-popping discounts on different products.

Conclusion

With the holiday season approaching, it’s a great time to snag a Roborock robot vacuum and mop combo. By choosing the right model for your needs and budget, you can enjoy the benefits of a self-cleaning home without breaking the bank. Happy shopping!

Third Wave Automation closes $27 million Series C funding to scale autonomous forklifts – Robotics & Automation News

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Third Wave Automation, a provider of autonomous high-reach forklifts, has closed a $27 million Series C round led by Woven Capital, Toyota’s growth fund.

Return investors Innovation Endeavors, Norwest Venture Partners and Qualcomm Ventures joined the round, bringing total capital raised to $97 million.

The funding will enable Third Wave to scale its “Shared Autonomy Platform”, expand manufacturing of its multimode TWA Reach forklifts, and support future technology development that advances the use of autonomous forklifts in and around warehouse environments.

Prashant Bothra, principal at Woven Capital, who is joining the Third Wave board, says: “In an industry grappling with a severely constrained labor market and intensifying market competition, Third Wave Automation’s approach of blending AI-powered autonomy with human expertise is transforming warehouse operations.

“Third Wave’s solution provides reliable automation for vertical movement and placement of goods while optimizing labor efficiency, enhancing safety and enabling data-driven improvements.

“With access to Toyota’s unparalleled bench of industrial automation and mobility experts, we believe Third Wave is well positioned to chart the future of intelligent material handling, unlocking unprecedented value across global logistics networks.”

Arshan Poursohi, CEO of Third Wave Automation, says: “The partnership between Third Wave and Woven Capital creates a strong foundation to advance our company’s strategic vision, reshaping how warehouse operators perceive autonomous forklifts and the value they deliver.

“Collaborating with Toyota will play a vital role in expanding access to our AI-powered solutions and industry-leading autonomous forklifts.

“Together, we will empower more US warehouse operators to boost productivity, enhance operational flexibility, address labor challenges and improve safety – all while delivering a fast, impressive ROI.”

Third Wave Automation pioneered materials handling automation with its Shared Autonomy Platform, enabling the TWA Reach line of forklifts to operate autonomously or seek help from remote operators who can take control from the safety of their office.

The platform uses machine learning to ensure forklifts continue to adapt and improve over time.

The TWA Reach forklifts operate in four modes: fully autonomous, remote assist, remote operation and traditional manual operation.

They are designed for high-reach applications, capable of horizontal and vertical movement of payloads, and used for end-to-end applications, from inbound, replenish and outbound tasks to all tasks in between.

The dynamic system includes “the industry’s most efficient mapping solution”, according to the company. Using automotive-grade 3D lidar, Third Wave Automation can see from the floor to the roof and across aisles, reducing the time it takes to map fixed environments from months to days.

The advanced camera warehouse perception system – including Collision Shield, the autonomous obstacle detection system running on forklifts – provides remote operators with insights into potential obstacles and how to navigate around them, as well as better views of target pick-and-place locations than manual operators.

The platform, along with its Armada Fleet Management System, enables a single operator to manage multiple forklifts.

Integrating with other warehouse management systems, the Armada FMS enables operators to execute and monitor workflows and dynamically configure warehouse zones to improve worker efficiency and safety.

Brien Downie, president of 3PL firm Holman Logistics, says: “The value of Third Wave Automation is genuinely transformative.

“Their autonomous forklifts will help us streamline our processes, enable our organization to fulfill customer orders more efficiently and maintain our competitive position in the logistics marketplace.

“Additionally, the autonomous Third Wave forklifts will play an important role in supporting our core value of ensuring that we always provide a safe environment for our team members.”

For developing designers, there’s magic in 2.737 (Mechatronics) | MIT News

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The field of mechatronics is multidisciplinary and interdisciplinary, occupying the intersection of mechanical systems, electronics, controls, and computer science. Mechatronics engineers work in a variety of industries — from space exploration to semiconductor manufacturing to product design — and specialize in the integrated design and development of intelligent systems. For students wanting to learn mechatronics, it might come as a surprise that one of the most powerful teaching tools available for the subject matter is simply a pen and a piece of paper.

“Students have to be able to work out things on a piece of paper, and make sketches, and write down key calculations in order to be creative,” says MIT professor of mechanical engineering David Trumper, who has been teaching class 2.737 (Mechatronics) since he joined the Institute faculty in the early 1990s. The subject is electrical and mechanical engineering combined, he says, but more than anything else, it’s design.

“If you just do electronics, but have no idea how to make the mechanical parts work, you can’t find really creative solutions. You have to see ways to solve problems across different domains,” says Trumper. “MIT students tend to have seen lots of math and lots of theory. The hands-on part is really critical to build that skill set; with hands-on experiences they’ll be more able to imagine how other things might work when they’re designing them.”

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A lot like magic
Video: Department of Mechanical Engineering

Audrey Cui ’24, now a graduate student in electrical engineering and computer science, confirms that Trumper “really emphasizes being able to do back-of-the-napkin calculations.” This simplicity is by design, and the critical thinking it promotes is essential for budding designers.

“Sitting behind a computer terminal, you’re using some existing tool in the menu system and not thinking creatively,” says Trumper. “To see the trade-offs, and get the clutter out of your thinking, it helps to work with a really simple tool — a piece of paper and, hopefully, multicolored pens to code things — you can design so much more creatively than if you’re stuck behind a screen. The ability to sketch things is so important.”

Trumper studies precision mechatronics, broadly, with a particular interest in mechatronic systems for demanding resolutions. Examples include projects that employ magnetic levitation, linear motors for driving precision manufacturing for semiconductors, and spacecraft attitude control. His work also explores lathes, milling applications, and even bioengineering platforms.

Class 2.737, which is offered every two years, is lab-based. Sketches and concepts come to life in focused experiences designed to expose students to key principles in a hands-on way and are very much informed by what Trumper has found important in his research. The two-week-long lab explorations range from controlling a motor to evaluating electronic scales to vibration isolations systems built on a speaker. One year, students constructed a working atomic force microscope.

“The touch and sense of how things actually work is really important,” Trumper says. “As a designer, you have to be able to imagine. If you think of some new configuration of a motor, you need to imagine how it would work and see it working, so you can do design iterations in your imagined space — to make that real requires that you’ve had experience with the actual thing.”

He says his former late colleague, Woodie Flowers SM ’68, MEng ’71, PhD ’73, used to call it “running the movie.” Trumper explains, “once you have the image in your mind, you can more easily picture what’s going on with the problem — what’s getting hot, where’s the stress, what do I like and not like about this design. If you can do that with a piece of paper and your imagination, now you design new things pretty creatively.”

Flowers had been the Pappalardo Professor Emeritus of Mechanical Engineering at the time of his passing in October 2019. He is remembered for pioneering approaches to education, and was instrumental in shaping MIT’s hands-on approach to engineering design education.

Class 2.737 tends to attract students who like to design and build their own things. “I want people who are heading toward being hardware geeks,” says Trumper, laughing. “And I mean that lovingly.” He says his most important objective for this class is that students learn real tools that they will find useful years from now in their own engineering research or practice.

“Being able to see how multiple pieces fit in together and create one whole working system is just really empowering to me as an aspiring engineer,” says Cui.

For fellow 2.737 student Zach Francis, the course offered foundations for the future along with a meaningful tie to the past. “This class reminded me about what I enjoy about engineering. You look at it when you’re a young kid and you’re like ‘that looks like magic!’ and then as an adult you can now make that. It’s the closest thing I’ve been to a wizard, and I like that a lot.” 

15 AI Robots of the 21st Century

What is AGI Robot?

AGI stands for Artificial General Intelligence. It refers to the hypothetical future development of artificial intelligence systems that match or exceed human intelligence across various cognitive tasks and domains.

Currently, AI systems are narrow or specialized, meaning they are designed and trained to excel at specific tasks like playing chess, recognizing images, or understanding natural language. However, they lack the general, flexible intelligence that humans possess to learn, reason, and transfer knowledge across vastly different problems and situations.

An AGI (Artificial General Intelligence) robot is an advanced form of artificial intelligence that aims to replicate human-like cognitive abilities. Unlike narrow AI systems that excel in specific tasks, AGI is designed to be generally smarter than humans and capable of performing a wide range of intellectual tasks.

15 Robots Powered by AI

Here are 15 Artificial Intelligence robots revolutionizing daily life, seamlessly blending AI and Robotics to enhance our world:

Figure 01 Robot in Collaboration with OpenAI

Introducing Figure 01: A cutting-edge electric robot standing at 5’6″ tall and weighing 60kg. With a payload capacity of 20kg, it operates for 5 hours at a steady speed of 1.2m/s. Its precision and endurance make it a versatile solution for various applications, whether for industrial tasks or assistance.

Boston Dynamics Atlas

Boston Dynamics’ Atlas is a highly advanced humanoid robot that stands 1.5 meters tall and weighs 89 kg. It features 28 hydraulically actuated joints powered by a custom battery and one of the world’s most compact hydraulic systems, enabling high power output for impressive feats of mobility. Atlas can reach speeds of 2.5 m/s and can run, jump over obstacles, and even perform somersaults.

Disney Research’s Robotic Character

Last year, in 2023, Disney Research unveiled a captivating bipedal robot reminiscent of the beloved character Wall-E. This robotic marvel seems to possess a mind, exhibiting an impressive array of movements, including strutting, dancing, and even maintaining direct eye contact.

Alter3 powered by GPT-4

Alter3 is a humanoid AI robot created by researchers at the University of Tokyo. Its remarkable capabilities stem from integrating GPT-4, a powerful language model developed by Anthropic. With GPT-4 at its core, Alter3 can understand and respond to natural language instructions, enabling it to adopt various poses and movements.

1X’s Eve

Eve, the smarter, working android from 1X, is a revolutionary innovation in robotics. Before deployment, each Eve undergoes rigorous real-world scenario testing to ensure optimal performance.

CyberOne from Xiaomi

Last year, Xiaomi unveiled CyberOne, the company’s first foray into humanoid robotics, at a product launch event in Beijing. CyberOne boasts remarkable capabilities, including human emotion detection, advanced vision, and the functionality to create 3D virtual reconstructions of the real world.

Conclusion

In a world where artificial intelligence is rapidly evolving, the advent of 15 AI-powered robots marks a significant milestone. AI and robotics can revolutionize various industries, from manufacturing to healthcare. With their ability to learn, adapt, and perform tasks with unprecedented efficiency and precision, these AI-powered robots hold the potential to streamline processes, enhance productivity, and pave the way for groundbreaking innovations. However, their impact also raises ethical considerations and the need for responsible development and deployment to ensure they benefit society while mitigating potential risks.

FAQs

Q: What is AGI?
A: AGI stands for Artificial General Intelligence, which refers to the hypothetical future development of artificial intelligence systems that match or exceed human intelligence across various cognitive tasks and domains.

Q: What are the key points about AGI robots?
A: AGI robots are designed to be generally smarter than humans and capable of performing a wide range of intellectual tasks. They aim to replicate human-like cognitive abilities and can learn, adapt, and perform tasks with unprecedented efficiency and precision.

Q: What are some of the notable AI and Robotics advancements?
A: Some of the notable AI and Robotics advancements include the development of robots like Figure 01, Boston Dynamics Atlas, Disney Research’s Robotic Character, Alter3, 1X’s Eve, and CyberOne from Xiaomi, among others.

Q: What are the potential applications of AI-powered robots?
A: AI-powered robots have the potential to revolutionize various industries, from manufacturing to healthcare, by streamlining processes, enhancing productivity, and paving the way for groundbreaking innovations.

Q: What are the ethical considerations of AI-powered robots?
A: AI-powered robots raise ethical considerations and the need for responsible development and deployment to ensure they benefit society while mitigating potential risks.