Robot Environment Interaction

Robot environment interaction research focuses on enabling robots to effectively and safely manipulate objects and navigate diverse environments. Current efforts concentrate on developing robust control strategies, including compliant control and methods leveraging force-torque sensors for self-calibration and safe interaction, as well as employing scene graphs and diffusion models for improved perception and action planning. These advancements are crucial for enhancing robot dexterity, autonomy, and safety in various applications, from industrial automation to assistive robotics. The field is also exploring advanced modeling techniques, such as stochastic games and sequence-to-sequence imitation learning, to handle the complexities of uncertain and dynamic environments.