Interactive Perception

Interactive perception focuses on enabling robots to actively gather sensory information through interaction with their environment, improving object understanding and manipulation capabilities. Current research emphasizes developing methods for handling articulated and deformable objects, often employing closed-loop control systems and integrating multiple sensor modalities (vision, touch, sound) within unified frameworks, sometimes leveraging neural networks and self-supervised learning. This research is significant for advancing robotics, particularly in areas like autonomous driving, surgical robotics, and domestic tasks, by enabling more robust and adaptable robot behaviors in complex, unstructured environments.