FETCH Robot

The Fetch robot serves as a versatile platform for researching robotic manipulation and navigation, with current research focusing on improving its capabilities in object fetching, continual learning, and safe operation in complex environments. Studies employ various techniques, including reinforcement learning (particularly goal-conditioned RL and offline RL), deep learning for perception and control, and novel algorithms for efficient search and manipulation in cluttered spaces. This research contributes significantly to advancements in robotics, impacting areas such as warehouse automation, disaster response, and space exploration through the development of more robust and adaptable robotic systems.