Robot Learning

Robot Learning from Offline Data

Development of algorithms for learning control from logged data

Quantifying RL Policies and Environments

Quantifying and comparing RL policies and environments

(DEMETER) Development of adaptive pruning robots for sustainable viticulture through simulation empowered AI, robot learning and Intuitive TeleopeRation

In this project, research teams from Japan, France, and Germany will collaborate internationally to develop innovative robotic technologies for sustainable agriculture. Additionally, we aim to expand the applicability of robot learning and teleoperation technologies across various fields.

AI Application Project (2023 Autumn)

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

AI Application Project (2024 Summer)

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

AI Application Project (2023 Summer)

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

AI Application Project (2022 Autumn)

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

AI Application Project (2022 Summer)

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

DRL Autumn Seminar 2021

Short seminar on deep reinforcement learning

AI Application Project (2021 Winter)

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