‘Evolution Gym’ is a large-scale benchmark for co-optimizing the design and control of soft robots that takes inspiration from nature and evolutionary processes
Let’s say you wanted to build the world’s best stair-climbing robot. You’d need to optimize for both the brain and the body, perhaps by giving the bot some high-tech legs and feet, coupled with a powerful algorithm to help enable the climb.
Although design of the physical body and its brain, the “control”, are key ingredients to letting the robot move, existing benchmark environments favor only the latter. Co-optimizing for both elements is hard – it takes a lot of time to train various robot simulations to do different things, even without the design element.
Scientists from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), aimed to fill the gap by designing “Evolution Gym”, a large-scale testing system for co-optimizing the design and control of soft robots, taking inspiration from nature and evolutionary processes. [Read more…] about A system for designing and training intelligent soft robots