Yutaka Matsuo
Professor
Latest
- AI Application Project (2023 Autumn)
- AI Application Project (2024 Summer)
- AI Application Project (2023 Summer)
- AI Application Project (2022 Autumn)
- RoboCup@Home2024 DSPL Application
- GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy
- GenORM: Generalizable One-shot Rope Manipulation with Parameter-Aware Policy
- Collective Intelligence for 2D Push Manipulations With Mobile Robots
- Self-Recovery Prompting: Promptable General Purpose Service Robot System with Foundation Models and Self-Recovery
- RoboCup@Home2023 DSPL Application
- World robot challenge 2020 – partner robot: a data-driven approach for room tidying with mobile manipulator
- Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
- Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization
- Co-adaptation of algorithmic and implementational innovations in inference-based deep reinforcement learning
- Tool as Embodiment for Recursive Manipulation
- Modeling Task Uncertainty for Safe Meta-Imitation Learning
- 言語指示を用いたメタ模倣学習 (Meta-Imitation Learning with Language Instruction)