Adaptive Robot

Adaptive robots are designed to autonomously adjust their behavior in response to changing environments and tasks, aiming for robust and efficient performance in complex situations. Current research emphasizes learning-based approaches, including reinforcement learning, probabilistic movement primitives, and neuro-evolutionary algorithms, to enable robots to acquire and adapt body schemas, manipulate objects effectively, and collaborate safely with humans. This field is significant for advancing robotics in various domains, from industrial automation and construction to healthcare and assistive technologies, by creating more flexible, reliable, and human-centered robotic systems.