Search Results for author: Masashi Hamaya

Found 6 papers, 5 papers with code

SliceIt! -- A Dual Simulator Framework for Learning Robot Food Slicing

1 code implementation3 Apr 2024 Cristian C. Beltran-Hernandez, Nicolas Erbetti, Masashi Hamaya

Our approach involves using Reinforcement Learning (RL) to train a robot to compliantly manipulate a knife, by reducing the contact forces exerted by the food items and by the cutting board.

Reinforcement Learning (RL)

Symmetry-aware Reinforcement Learning for Robotic Assembly under Partial Observability with a Soft Wrist

1 code implementation28 Feb 2024 Hai Nguyen, Tadashi Kozuno, Cristian C. Beltran-Hernandez, Masashi Hamaya

This study tackles the representative yet challenging contact-rich peg-in-hole task of robotic assembly, using a soft wrist that can operate more safely and tolerate lower-frequency control signals than a rigid one.

Elastic Decision Transformer

no code implementations NeurIPS 2023 Yueh-Hua Wu, Xiaolong Wang, Masashi Hamaya

This paper introduces Elastic Decision Transformer (EDT), a significant advancement over the existing Decision Transformer (DT) and its variants.

Atari Games D4RL +1

An analytical diabolo model for robotic learning and control

1 code implementation18 Nov 2020 Felix von Drigalski, Devwrat Joshi, Takayuki Murooka, Kazutoshi Tanaka, Masashi Hamaya, Yoshihisa Ijiri

In this paper, we present a diabolo model that can be used for training agents in simulation to play diabolo, as well as running it on a real dual robot arm system.

MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics

2 code implementations28 Sep 2019 Mohammadamin Barekatain, Ryo Yonetani, Masashi Hamaya

Transfer reinforcement learning (RL) aims at improving the learning efficiency of an agent by exploiting knowledge from other source agents trained on relevant tasks.

Reinforcement Learning (RL) Transfer Reinforcement Learning

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