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  1. 12 juin 2024 · MIT engineers design flexible “skeletons” for soft, muscle-powered robots. New modular, spring-like devices maximize the work of live muscle fibers so they can be harnessed to power biohybrid bots. April 8, 2024. Read full story.

  2. 2 mai 2015 · Helping robots grasp the unpredictable. MIT CSAIL’s frugal deep-learning model infers the hidden physical properties of objects, then adapts to find the most stable grasps for robots in unstructured environments like homes and fulfillment centers. June 3, 2024. Read full story →

  3. 12 juin 2024 · To overcome these challenges, researchers from MIT and the MIT-IBM Watson AI Lab devised a navigation method that converts visual representations into pieces of language, which are then fed into one large language model that achieves all parts of the multistep navigation task.

  4. 30 juin 2024 · MIT’s CSAIL department this week is showcasing RoboGrocery. It combines computer vision with a soft robotic gripper to bag a wide range of items.

  5. 2 juil. 2024 · We've provided a rich language of constraints for specifying IK problems, including many which involve the kinematics of the robot and the geometry of the robot and the world (e.g., the minimum-distance constraints).

  6. Il y a 6 jours · To test how much more successful a robot can be if it’s capable of “listening,” the researchers chose four tasks: flipping a bagel in a pan, erasing a whiteboard, putting two Velcro strips...

  7. Il y a 5 jours · I've spent my career thinking about how to make robots move robustly, but also with speed, efficiency, and grace. I believe that this is best achieved through a tight coupling between mechanical design, passive dynamics, and nonlinear control synthesis.