Safe Robot

Safe robot research focuses on developing robots that can operate reliably and safely alongside humans and in dynamic environments, minimizing the risk of accidents. Current efforts concentrate on developing robust control algorithms, such as model predictive control and reinforcement learning integrated with safety constraints like control barrier functions, often implemented within novel neural network architectures (e.g., transformers, attention-based networks). These advancements are crucial for expanding the deployment of robots in collaborative settings, particularly in manufacturing, healthcare, and domestic environments, improving efficiency and safety in various industries.