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Bookmark or Share- Flocks of assembler robots show potential for making larger structuresMIT researchers made significant steps toward creating robots that could practically and economically assemble nearly anything, including things much larger than themselves, from vehicles to buildings to larger robots. Their new study shows both assembler bots and components of the structure being built can all be made of the same subunits, and robots can move independently in large numbers to ...
- Computer-aided creativity in robot design - MIT NewsChoosing the best robot design requires controlling each robot’s movements and evaluating its function. “Up until now, these robots are just structures,” says Zhao. The controller is the set of instructions that brings those structures to life, governing the movement sequence of the robot’s various motors.
- 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.
- Finger-shaped sensor enables more dexterous robotsMIT researchers developed a touch sensor for a robotic hand that is long and curved, like a human finger, and provides sensing along its entire length. This could enable a robot to grasp large or heavy objects more like a human would, with its entire fingers, while still being able to grasp small items with its fingertips.
- Robotics | MIT News | Massachusetts Institute of TechnologyMIT CSAIL researchers used AI-generated images to train a robot dog in parkour, without real-world data. Their LucidSim system demonstrates generative AI's potential for creating robotics training data. November 19, 2024. Read full story →
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