MIT SoftZoo: Open-Source Platform Simulates Wildlife for Soft Robotics Designers

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MIT SoftZoo: Open-Source Platform Simulates Wildlife for Soft Robotics Designers
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SoftZoo is a soft robot co-design platform that can test optimal shapes and sizes for robotic performance in different environments. Since the term “soft robotics” was adopted in 2008, engineers in the field have been building diverse representations of flexible machines useful in exploration, lo

, a bio-inspired platform that enables engineers to study soft robot co-design. The framework optimizes algorithms that consist of design, which determines what the robot will look like; and control, or the system that enables robotic motion, improving how users automatically generate outlines for potential machines.

These biological outlines can inspire more specialized, terrain-specific artificial life. “A jellyfish’s gently undulating geometry allows it to efficiently travel across large bodies of water, inspiring researchers to develop new breeds of soft robots and opening up unlimited possibilities of what artificial creatures cultivated entirely in silico can be capable of,” says Wang.

“This computational approach to co-designing the soft robot bodies and their brains opens the door to rapidly creating customized machines that are designed for a specific task,” adds Daniela Rus, director of CSAIL and the Andrew and Erna Viterbi Professor in the MIT Department of Electrical Engineering and Computer Science , who is another author of the work.

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