MIT CSAIL researchers combined GenAI and a physics simulation engine to refine robot designs. The result: a machine that out-jumped a robot designed by humans.
Thesis Defense: Robot Guidance ControlSpeaker: Ravi TejwaniAbstract: When human instructors guide learners through motor tasks, they naturally coordinate physical touch with verbal explanations – yet robots applying physical…
Researchers developed an algorithm that lets a robot “think ahead” and consider thousands of potential motion plans simultaneously.
With a novel simulation method, robots can guess the weight, softness, and other physical properties of an object just by picking it up.
MIT engineers developed an insect-sized jumping robot that can traverse challenging terrains and carry heavy payloads.
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New research could allow a person to correct a robot’s actions in real-time, using the kind of feedback they’d give another human.
With a new design, the bug-sized bot was able to fly 100 times longer than prior versions.
The “PRoC3S” method helps an LLM create a viable action plan by testing each step in a simulation. This strategy could eventually aid in-home robots to complete more ambiguous chore requests.
As the Director of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), Rus leads over 1,700 researchers in pioneering innovations to advance computing and improve global well-being.