TRAIL (Tokyo Robotics and AI Lab) is a subgroup under Matsuo-Iwasawa Lab (weblab) at the University of Tokyo. Our aim is to enable exponential progress in robotics and create intelligence in the real world.
Development of algorithms for learning control from logged data
Quantifying and comparing RL policies and environments
Team Website for RoboCup@Home2025 DSPL
Team Website for RoboCup@Home2024 DSPL
Team Website for RoboCup@Home2023 DSPL
Tidying up a household environment using a mobile manipulator poses various challenges in robotics, such as adaptation to large real-world environmental variations, and safe and robust deployment in the presence of humans. The Partner Robot Challenge in World Robot Challenge (WRC) 2020, a global competition held in September 2021, benchmarked tidying tasks in real home environments, and, importantly, tested for full system performances. For this challenge, we developed an entire household service robot system, which leverages a data-driven approach to adapt to numerous edge cases that occur during the execution, instead of classical manual pre-programmed solutions. In this paper, we describe the core ingredients of the proposed robot system, including visual recognition, object manipulation, and motion planning. Our robot system won the second prize, verifying the effectiveness and potential of data-driven robot systems for mobile manipulation in home environments.
Learn how to apply recent deep learning technologies to robot system (project-based learning)
Learn how to apply recent deep learning technologies to robot system (project-based learning)
Learn how to apply recent deep learning technologies to robot system (project-based learning)
Learn how to apply recent deep learning technologies to robot system (project-based learning)
Learn how to apply recent deep learning technologies to robot system (project-based learning)
Short seminar on deep reinforcement learning
Learn how to apply recent deep learning technologies to robot system (project-based learning)
Learn how to apply recent deep learning technologies to robot system (project-based learning)
Lecuture course on basic deep learning algorithms and their implementations.
Short seminar on deep reinforcement learning
Short seminar on deep reinforcement learning