Micro Robot Swarm

Micro-robot swarms research focuses on coordinating the collective behavior of numerous tiny robots to achieve tasks beyond individual capabilities, such as targeted drug delivery or micro-assembly. Current efforts concentrate on developing effective control strategies, often employing reinforcement learning algorithms like Proximal Policy Optimization (PPO) and group-based control architectures to manage the complexity of large swarms. This field is significant for its potential to revolutionize micro-scale manipulation and automation in diverse applications, including biomedical engineering and advanced manufacturing.