An update on how we’re accelerating the use of AI in robotics at scale



 With decades of experience pioneering the use of machine learning models and developing and deploying the world’s largest fleet of industrial robotics, Amazon has a long history of driving innovation in supply chain, logistics, and warehouse automation. AI technology and AWS infrastructure powers the hundreds of thousands of mobile robots, robotics arms, and other automation systems in our operations, assisting our employees as we deliver billions of customers’ orders every year. Amazon systems like Robin, Proteus, and Sequoia all make use of AI to understand the physical world and go about tasks safely and reliably as they work alongside our operations teams.

Our robotic fleet touches many of the orders we deliver today, moving inventory, sorting goods, and identifying customer orders. They take on the heavy lifting and repetitive tasks so that our operations are safer and more efficient for our employees. Over the years and through all this activity, we’ve been deeply focused on continuously learning and improving the movement of our inventory at our sites and how our robotics systems interact with them. We’ve been busy undertaking fundamental research in how to use these insights to build AI models that help our systems become even safer and more adaptable at scale. This research is helping design new ways for robots to be useful for our employees and better serve our customers.

To help accelerate this innovation and the benefits it will provide to Amazon customers and beyond, we have a new commercial agreement with Covariant. Covariant is a Bay Area-based company that builds advanced AI models that enable robots to see, reason, and act on the world around them, supporting a number of different warehouse automation tasks. What we admire about the Covariant team is their iterative and customer-focused approach to developing technologies that solve the toughest challenges in warehouse automation and their deep understanding of that end-to-end process. Through our agreement, Amazon is receiving a non-exclusive license to Covariant’s robotic foundation models.Covariant’s models will help drive new ways to generalize how our robotic systems learn and provide dynamic opportunities for how we use automation to make our operations safer and better deliver for customers. As part of this effort, Amazon plans to grow its AI and robotics team in the Bay Area to tap into world class talent and advance the latest in automation.

Visit Us: Robotics And Automation

Comments

Post a Comment

Popular posts from this blog

Beyond manufacturing: Cobots in healthcare, labs, and food service

Image
When you hear the word “robot”, you probably picture a massive, unmoving arm on an assembly line, precisely welding car parts or lifting heavy machinery. And for good reason – industrial robots have revolutionized manufacturing for decades.  But a new breed of robotic assistants, collaborative robots or cobots, are breaking free from the factory floor, proving their versatility and value in an array of surprising environments. Designed to work safely alongside humans, cobots are now making significant inroads into fields like healthcare, laboratory research, and even food service, transforming how we approach tasks in these diverse sectors. Healthcare: A helping hand for professionals and patients In the fast-paced and often understaffed world of healthcare, cobots are emerging as invaluable allies. They aren’t replacing human caregivers but rather augmenting their capabilities, taking on repetitive or physically demanding tasks that free up medical professionals to focus on direct...
Read more

GreenBot unveils autonomous system for weeding woody crop areas

Image
The   GreenBot   project has taken a key step towards sustainable agriculture with the field deployment of a high-precision autonomous vehicle designed for the smart and localized control of weeds in woody crops such as almond, citrus, and olive trees. This breakthrough, made possible thanks to a public-private partnership, integrates artificial intelligence (AI), robotics, and machine vision to optimize the use of plant protection products, reduce costs, and mitigate the environmental impact of intensive farming. A tech response to an agronomic challenge Weeds pose a constant threat to agricultural production, with estimated crop yield losses of up to 40%. Conventional control methods, based on the widespread application of herbicides, are not only costly (up to 30% of production costs) but also harmful to the environment due to drift or runoff. GreenBot addresses this problem through a precise and targeted approach, adapted to the complex environment of woody crops, where ac...
Read more

Opinion: AI and robotics poised to transform scientific discovery, say global experts

Image
A globally connected ecosystem of autonomous laboratories could redefine how science is conducted, accelerating discovery while lowering barriers to participation, according to a new expert viewpoint published in   Science Robotics , a peer-reviewed scientific journal published by the   American Association for the Advancement of Science . The article titled, “Accelerating Discovery in Natural Science Laboratories with AI and Robotics: Perspectives and Challenges”, brings together leading voices from academia, industry, and government to explore how artificial intelligence, robotics, and laboratory automation can drive breakthroughs in chemistry, biology, and materials science. With authors from Mohamed Bin Zayed University for Artificial Intelligence (MBZUAI), Technical University of Munich (TUM), University of Toronto and other world-leading organizations, it highlights both the transformative potential and the technical and societal challe...
Read more