A system for designing and training intelligent soft robots
Por um escritor misterioso
Last updated 23 dezembro 2024
Scientists from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have designed “Evolution Gym,” a large-scale testing system for co-optimizing the design and control of soft robots, taking inspiration from nature and evolutionary processes.
A system for designing and training intelligent soft robots, MIT News
Video Friday: GR-1 - IEEE Spectrum
Machine Learning for Soft Robotic Sensing and Control - Chin - 2020 - Advanced Intelligent Systems - Wiley Online Library
Soft robotics, Be inspired
Intelligent Heterogeneous Multi-robot Catching System using Deep Multi-agent Reinforcement Learning
Demystifying the Variances Between Artificial Intelligence and Robotics!
A Shift from Efficiency to Adaptability: Recent Progress in Biomimetic Interactive Soft Robotics in Wet Environments - Fang - 2022 - Advanced Science - Wiley Online Library
Soft robotics, MIT News
Frontiers The science of soft robot design: A review of motivations, methods and enabling technologies
Flexible self-powered multifunctional sensor for stiffness-tunable soft robotic gripper by multimaterial 3D printing - ScienceDirect
Applied Sciences, Free Full-Text
A system for designing and training intelligent soft robots
Frontiers Development and Grasp Stability Estimation of Sensorized Soft Robotic Hand
Design and Control of Soft Robots Using Differentiable Simulation
Design, fabrication and control of soft robots
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