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Bookmark or Share- Dexterous robotic hands manipulate thousands of objects with easeScientists from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), in the ever-present quest to get machines to replicate human abilities, created a framework that’s more scaled up: a system that can reorient over 2,000 different objects, with the robotic hand facing both upwards and downwards.
- 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.
- Watch this terrifying robotic torso spring into lifeThe robotic torso is mounted to a human-like pelvis and topped with a head-like appendage. It has a rigid spine, a solid rib cage and ghostly white "skin" reminiscent of the work-in-progress ...
- Robotic “SuperLimbs” could help moonwalkers recover from falls“We designed these robotic arms based on an AI search and design optimization, to look for designs of classic robot manipulators with certain engineering constraints,” Ballesteros says. “We filtered through many designs and looked for the design that consumes the least amount of energy to lift a person up.
- A faster, better way to train general-purpose robotsA robotic “policy” takes in sensor observations, like camera images or proprioceptive measurements that track the speed and position a robotic arm, and then tells a robot how and where to move. Policies are typically trained using imitation learning, meaning a human demonstrates actions or teleoperates a robot to generate data, which are ...
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