TRAIL

TRAIL (Tokyo Robotics and AI Lab) is a subgroup under Matsuo Lab (weblab) at the University of Tokyo, led by Yutaka Matsuo, Yusuke Iwasawa, and Shixiang Shane Gu. Our aim is to enable exponential progress in robotics and create intelligence in the real world.

TRAIL

Projects

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Robot Learning from Offline Data

Robot Learning from Offline Data

Development of algorithms for learning control from logged data

Quantifying RL Policies and Environments

Quantifying RL Policies and Environments

Quantifying and comparing RL policies and environments

Home Robot System Project

Home Robot System Project

Building robot system for household chores

RoboCup@Home2023 DSPL Application

RoboCup@Home2023 DSPL Application

Team Website for RoboCup@Home2023 DSPL

Faculty

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Yutaka Matsuo

Professor

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Shixiang Shane Gu

Visiting Associate Professor

Courses

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AI Application Project (2022 Autumn)

AI Application Project (2022 Autumn)

Learn how to apply recent deep learning technologies to robot system (project-based learning)

AI Application Project (2022 Summer)

AI Application Project (2022 Summer)

Learn how to apply recent deep learning technologies to robot system (project-based learning)

DRL Autumn Seminar 2021

DRL Autumn Seminar 2021

Short seminar on deep reinforcement learning

AI Application Project (2021 Winter)

AI Application Project (2021 Winter)

Learn how to apply recent deep learning technologies to robot system (project-based learning)

AI Application Project (2021 Summer)

AI Application Project (2021 Summer)

Learn how to apply recent deep learning technologies to robot system (project-based learning)

Deep Learning Basic Course (2021 Summer)

Deep Learning Basic Course (2021 Summer)

Lecuture course on basic deep learning algorithms and their implementations.

DRL Spring Seminar 2021

DRL Spring Seminar 2021

Short seminar on deep reinforcement learning

DRL Summer School 2020

DRL Summer School 2020

Short seminar on deep reinforcement learning

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