A system for designing and training intelligent soft robots

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