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…Science and Artificial Intelligence Laboratory (CSAIL), it has built the data engine powering fleets of robots that move North America's consumer packaged goods. Tutor Intelligence said this centralized intelligence system is changing robotic capability and applicability in manufacturing and logistics environments, logging tens of thousands of hours of real-world production experience that is continually reinvested to make the robots smarter,…
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…Brown University, Locus Robotics, MIT CSAIL, MIT Media Lab’s Personal Robotics Group, UMass Amherst and UMass Lowell. Attendees of the event included: MassRobotics executive director and RAC 26 speaker Tom Ryden Former CEO & president, Mass Technology Leadership Council, Tom Hopcroft Professor Daniela Rus, Director of MIT Computer and Artificial Intelligence Lab (CSAIL) MassRobotics Board chair and Amazon Robotics chief…
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…Science and Artificial Intelligence Laboratory (CSAIL). While the former is better known today for ChatGPT, in 2018, it made headlines by training a human-like robot hand to manipulate physical objects with unprecedented dexterity by using a reinforcement learning algorithm and code. CSAIL also relied on advances in deep learning to reorient a robotic hand to handle over 2,000 objects. As…
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…Science and Artificial Intelligence Laboratory (CSAIL) In these figures, a simulated robot performs three contact-rich manipulation tasks: in-hand manipulation of a ball, picking up a plate, and manipulating a pen into a specific orientation. Source: MIT, courtesy of the researchers Reinforcement learning versus smoothing Reinforcement learning is a machine learning technique where an agent, like a robot, learns to complete…
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…Science and Artificial Intelligence Laboratory (CSAIL) are using machine learning to cut down on the typical iterative process of task planning that considers all possible actions. PIGINet eliminates task plans that can’t satisfy collision-free requirements, and it reduces planning time by 50% to 80% when trained on only 300 to 500 problems. Typically, robots attempt various task plans and iteratively…
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…Science and Artificial Intelligence Laboratory (CSAIL), have developed a legged robot that can dribble a soccer ball under the same conditions as humans. The robot used a mixture of onboard sensing and computing to traverse different natural terrains such as sand, gravel, mud, and snow. It could also adapt to their varied impact on the ball’s motion. Like any committed…
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…Science and Artificial Intelligence Laboratory (CSAIL) and MacArthur Fellow, and Saman Amarasinghe. LG Technology Ventures, established in 2018 in Silicon Valley, is the venture capital investment arm of the Korea based LG Group. Its team consists of experienced investors, entrepreneurs, technologists and industry domain experts. LG Technology Ventures manages over $500 million of fund assets and invests in early-stage start-ups…
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…and Artificial Intelligence Laboratory (MIT CSAIL) touted its alliances program. CSAIL Alliances offers companies opportunities to engage with its students and researchers, and its membership includes more than 1,200 people. The institute also showed off one of its four-legged robots. Earlier this year, a version of the robot beat a world record for the being the fastest legged robot. Onshape…
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…Science and Artificial Intelligence Laboratory (CSAIL) at MIT. “The Robotics Medal means more than its generous cash prize and resources at MassRobotics,” Rus added. “It reflects the powerful contributions women have made, are making, and will make to this important, vibrant and growing industry.” Winner will have access to MassRobotics' network The Robotics Medal recipient will be named a MassRobotics…
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…Science and Artificial Intelligence Laboratory (CSAIL), and Ge Yang, a postdoctoral fellow at the Institute of AI and Fundamental Interactions (IAIFI), about just how fast the quadruped robot can run. Q: We’ve seen videos of robots running before—why is running harder than walking? Achieving fast running requires pushing the hardware to its limits, for example by operating near the maximum…
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…Science and Artificial Intelligence Laboratory (CSAIL) has developed an algorithm for efficient motion control. It enables a robot to move while ensuring the physical safety of its human user. The MIT scientists used it to program a robot to help a person with limited mobility to put on a jacket. The laboratory began by modeling how humans move, react, and…
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…Science and Artificial Intelligence Laboratory (CSAIL) and lead author of the paper. This is particularly true in the manufacturing and health care industries. “Whether or not we try to help people build conceptual models of robots, they will build them anyway,” she said. “And those conceptual models could be wrong. This can put people in serious danger. It is important…
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…Science and Artificial Intelligence Laboratory (CSAIL), aimed to fill the gap by designing “Evolution Gym,” a large-scale testing system for co-optimizing the design and control of soft robots, taking inspiration from nature and evolutionary processes. Simulations soft robots learn on their own The robots in the simulator look a little bit like squishy, moveable Tetris pieces made up of soft,…
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…and Artificial Intelligence Laboratory (MIT CSAIL) created a framework that’s more scaled up. They built system that can reorient over 2,000 different objects, with the robotic hand facing both upwards and downwards. This ability to manipulate anything from a cup to a tuna can or a Cheez-It box could help the hand quickly pick and place objects in specific ways…
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…Science and Artificial Intelligence Laboratory (CSAIL) recently created a new algorithm to help a robot find efficient motion plans to ensure physical safety of its human counterpart. In this case, the robot helped put a jacket on a human, which could prove to be a powerful tool in expanding assistance for those with disabilities or limited mobility. “Developing algorithms to…
From geometry preparation to AI-assisted analysis, integrated CFD workflows…
Software-based GripperAI manages mixed picking through basic geometry
Safety, communication and motion control components enable smooth operation
North America’s largest robotics and automation event winds down
