News

Jun 26

Closing the gap between animal movement and robotic control Opens in new window

The Biohybrid and Organic Robotics Group is using AI to better understand how brains and bodies work together. Their new reinforcement learning framework acts as a guide to identify which parts of complex neuromechanical models need refinement, helping researchers build more accurate simulations.

Oct 27

Hitting the gym: Researchers design controllers for robots made from living muscle Opens in new window

In a lab where biology meets robotics, Carnegie Mellon researchers are tackling a unique challenge: how do you control a robot made of living muscle that grows stronger every time it moves?

Jul 18

Sea slugs: what can we learn from them? Opens in new window

Studying Aplysia californica, or sea slugs, can tell us a lot about neuromuscular systems and open up avenues for more controlled animal experiments.

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