Robot Task

Robot task research focuses on enabling robots to successfully perform diverse actions, from simple grasping to complex navigation and manipulation. Current efforts concentrate on improving robot control through advanced algorithms like model predictive control and its more efficient latent space variants, leveraging vision-language models for high-level reasoning and task decomposition, and employing imitation learning and reinforcement learning to acquire and transfer skills. These advancements are crucial for creating more robust and adaptable robots capable of operating in unstructured environments, impacting fields ranging from manufacturing and logistics to healthcare and exploration.