Brain Body

Brain-body co-optimization in robotics focuses on developing autonomous agents where the physical body and control system (brain) are jointly designed and optimized for improved performance. Current research emphasizes overcoming the challenge of "premature convergence," where the brain and body become overly specialized, hindering adaptability. This involves exploring various controller architectures, including modular designs and neural networks, and investigating efficient learning algorithms to adapt the brain to morphological changes. Advances in this field promise to improve the design and control of robots, particularly in soft robotics, leading to more robust, adaptable, and efficient autonomous systems.