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Bookmark or Share- A better way to control shape-shifting soft robotsHere, a reconfigurable robot learns to elongate and curve its soft body to weave around obstacles and reach a target. Image: Courtesy of the researchers “Such a robot could have thousands of small pieces of muscle to control, so it is very hard to learn in a traditional way,” says Chen.
- A faster, better way to train general-purpose robotsAt the same time, each robot is mechanically unique, with a different number and orientation of arms, grippers, and sensors. Plus, the environments where data are collected vary widely. The MIT researchers developed a new architecture called Heterogeneous Pretrained Transformers (HPT) that unifies data from these varied modalities and domains.
- The new wave of robotic automation - MIT NewsPeter Howard SM ’84 is the CEO of Realtime Robotics, a startup transforming autonomous robot motion planning to enable seamless, affordable human-robot collaboration. Realtime Robotics has developed a combination of proprietary software and hardware that reduces system deployment time by 70 percent or more, reduces deployment costs by 30 ...
- Helping robots zero in on the objects that matter - MIT NewsMIT engineers have developed a method that enables robots to make similarly intuitive, task-relevant decisions. The team’s new approach, named Clio, enables a robot to identify the parts of a scene that matter, given the tasks at hand. With Clio, a robot takes in a list of tasks described in natural language and, based on those tasks, it then ...
- Robotics | MIT News | Massachusetts Institute of TechnologyCombining next-token prediction and video diffusion in computer vision and robotics. A new method can train a neural network to sort corrupted data while anticipating next steps. It can make flexible plans for robots, generate high-quality video, and help AI agents navigate digital environments. October 16, 2024.
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