Sensorimotor Agent

Sensorimotor agents are artificial systems designed to perceive their environment and act upon it, mimicking biological agency. Current research focuses on developing robust and efficient learning methods for these agents, including knowledge distillation techniques that leverage teacher-student models and advanced search algorithms applied to cellular automata to discover emergent sensorimotor capabilities. These advancements are improving the performance of autonomous systems in complex tasks like driving, while also offering insights into the fundamental principles of embodied intelligence and self-organization. The resulting improvements in agent capabilities have significant implications for robotics, autonomous vehicles, and artificial life research.