Adaptive Robotics

Adaptive robotics focuses on creating robots capable of adjusting their behavior and performance in response to unpredictable changes in their environment or tasks. Current research emphasizes developing robust control systems, often inspired by biological systems, incorporating techniques like biologically-inspired neural networks, behavior trees guided by large language models, and quality-diversity algorithms for generating diverse, high-performing solutions. This field is crucial for advancing autonomous systems in various applications, from healthcare (e.g., automated drug dispensing) to manufacturing (e.g., adaptable assembly lines) and improving the reliability and adaptability of robots in unstructured environments.