Agile Robot

Agile robotics focuses on developing robots capable of swift, precise movements in complex environments, demanding advanced control algorithms and robust perception systems. Current research emphasizes decentralized control strategies for multi-agent systems, leveraging neural networks (including vision transformers and integral control barrier functions) alongside model predictive control (MPC) to ensure both safety and agility. This field is crucial for advancing applications such as autonomous navigation, manipulation, and human-robot collaboration, driving improvements in both robotic hardware and control software.

Papers