Publications

2025

Journal Papers

Ruixiang Cao, Satoshi Yagi, Satoshi Yamamori, Jun Morimoto
Poxel: Voxel Reconstruction for 3D Printing
CoRR abs/2501.10474, 2025.

Sho Takeda, Satoshi Yamamori, Satoshi Yagi, Jun Morimoto
An empirical evaluation of a hierarchical reinforcement learning method towards modular robot control
Artificial Life and Robotics, 30(2):245--251, May 2025.

Eisuke Matsubara, Satoshi Yagi, Yuta Goto, Satoshi Yamamori, Jun Morimoto
Improvement of fault tolerance of quadruped robots by detecting correlation anomalies in sensor signals
Artificial Life and Robotics, 30(2):252–259, May 2025.

Conference Papers

Jin Shi, Satoshi Yagi, Satoshi Yamamori, Jun Morimoto
LLM‑Guided Zero‑Shot Visual Object Navigation with Building Semantic Map
2025 IEEE/SICE International Symposium on System Integration (SII), 1274-1279, 2025.

Teppei Komaki, Satoshi Yagi, Satoshi Yamamori, Jun Morimoto
Embedding object‑manipulation motion trajectories into latent space and real‑world adaptation via Bayesian optimization
Robotics and Mechatronics Conference (Robomech), May 2025.

Toya Yamazaki, Satoshi Yamamori, Satoshi Yagi, Jun Morimoto
System identification of high‑DoF robots using bilinear Koopman models and model predictive control
Robotics and Mechatronics Conference (Robomech), May 2025.

Tatsuki Kinuya, Satoshi Yagi, Sho Takeda, Satoshi Yamamori, Jun Morimoto
Investigating multitask reinforcement learning methods for robots of different morphologies
Robotics and Mechatronics Conference (Robomech), May 2025.

2024

Journal Papers

Chang Liu, Satoshi Yagi, Satoshi Yamamori, Jun Morimoto
Joint‑Aware Transformer: An Inter‑Joint Correlation Encoding Transformer for Short‑Term 3D Human Motion Prediction
IEEE Access, 12:156683-156693, 2024.

Satoshi Yagi, Mitsunori Tada, Eiji Uchibe, Suguru Kanoga, Takamitsu Matsubara, Jun Morimoto
Unsupervised Neural Motion Retargeting for Humanoid Teleoperation
CoRR abs/2406.00727, 2024.

Mitsuki Morita, Satoshi Yamamori, Satoshi Yagi, Norikazu Sugimoto, Jun Morimoto
Goal‑Conditioned Terminal Value Estimation for Real‑time and Multi‑task Model Predictive Control
CoRR abs/2410.04929, 2024.

Conference Papers

Satoshi Yagi, Mitsunori Tada, Eiji Uchibe, Suguru Kanoga, Takamitsu Matsubara, Jun Morimoto
Motion retargeting for humanoid teleoperation using unsupervised learning
42nd Annual Conference of the Robotics Society of Japan (RSJ2024), 2024.

Sho Takeda, Satoshi Yamamori, Satoshi Yagi, Jun Morimoto
Hierarchical policy construction for modular robots
42nd Annual Conference of the Robotics Society of Japan (RSJ2024), 2024.

Eisuke Matsubara, Satoshi Yagi, Yuta Goto, Satoshi Yamamori, Jun Morimoto
Considerations for joint anomaly detection and fault‑tolerance improvement in quadruped robots
25th SICE System Integration Division Conference, Dec 2024.

Teppei Komaki, Satoshi Yagi, Satoshi Yamamori, Jun Morimoto (2024)
Low‑dimensional action space extraction through prior policy learning and acquisition of object manipulation policies in real environments
IEICE Technical Report, 124(85 (NC2024 1‑31)). (Japanese)

Fumiya Takenaka, Satoshi Yamamori, Mitsuki Morita, Satoshi Yagi, Jun Morimoto (2024)
World model learning and model predictive control for real‑time and real‑world robot control
IEICE Technical Report, 124(85 (NC2024 1‑31)). (Japanese)

Atsuya Ishizu, Satoshi Yamamori, Satoshi Yagi, Jun Morimoto (2024)
Empirical Evaluation of State Estimation Performance of A Multi‑View World Model
IEICE Technical Report, 124(85 (NC2024 1‑31)). (Japanese)

Shunya Kai, Satoshi Yagi, Yuta Goto, Satoshi Yamamori, Jun Morimoto (2024)
Adaptation of walking strategies to different ground conditions for a quadruped robot using hierarchical reinforcement learning
IEICE Technical Report, 124(85 (NC2024 1‑31)). (Japanese)

Misaki Obata, Satoshi Yamamori, Satoshi Yagi, Jun Morimoto (2024)
Study of multiple‑agent path‑finding problems as dynamic non‑cooperative games
IEICE Technical Report, 124(85 (NC2024 1‑31)). (Japanese)

Takashi Kosaku, Satoshi Yamamori, Satoshi Yagi, Jun Morimoto (2024)
Empirical Evaluations of Role Estimation and Motion Imitation Methods in a Multi‑agent Imitation Learning Framework
IEICE Technical Report, 124(85 (NC2024 1‑31)). (Japanese)

Eisuke Matsubara, Satoshi Yagi, Yuta Goto, Satoshi Yamamori, Jun Morimoto (2024)
Improvement of Fault Tolerance of Quadruped Robots by Detecting Correlation Anomalies in Sensor Signals (Best Paper Award)
7th International Symposium on Swarm Behavior and Bio-Inspired Robotics (AROB-ISBC-SWARM 2024)

Sho Takeda, Satoshi Yamamori, Satoshi Yagi, Jun Morimoto (2024)
An Empirical Evaluation of A Hierarchical Reinforcement Learning Method towards Modular Robot Control
7th International Symposium on Swarm Behavior and Bio-Inspired Robotics (AROB-ISBC-SWARM 2024)

2023

Conference Papers

Mitsuki Morita, Satoshi Yamamori, Satoshi Yagi, Norikazu SugimotoJun Morimoto (2023)
Model Predictive Control with Goal-Conditioned Terminal Value Estimation
The 26th Information-Based Induction Sciences (IBIS 2023)

Yuta Goto, Satoshi Yamamori, Satoshi Yagi, Jun Morimoto (2024)
Acquisition of generalisation policy groups by multi-task reinforcement learning with network mixtures in parameter space
The 26th Information-Based Induction Sciences (IBIS 2023)

Kai Tsunoda, Satoshi Yagi, Satoshi Yamamori, Jun Morimoto (2023)
Behavior Cloning from Expert Data including Diverse Velocities
The 26th Information-Based Induction Sciences (IBIS 2023)

2022

Journal Papers

Matija Mavsar, Barry Ridge, Rok Pahič, Jun Morimoto, Aleš Ude (2022)
Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks,
IEEE Transactions on Neural Networks and Learning Systems.
[Open Access]

Yutaka Matsuo, Yann LeCun, Maneesh Sahani, Doina Precup, David Silver,
Masashi Sugiyama, Eiji Uchibe, Jun Morimoto (2022)
Deep learning, reinforcement learning, and world models
Neural Networks, Vol. 152, 267-275.
[Open Access]

Takeshi D. Itoh, Koji Ishihara, Jun Morimoto (2022)
Implicit Contact Dynamics Modeling With Explicit Inertia Matrix Representation for Real-Time, Model-Based Control in Physical Environment, Neural Computation,
Neural Computation, Vol. 34, Issue 2, 360-377.
[Open Access]

2021

Journal Papers

Tom Macpherson, Masayuki Matsumoto, Hiroaki Gomi, Jun Morimoto, Eiji Uchibe, Takatoshi Hikida (2021)
Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control
Neural Networks, Vol. 144, 507-521,
[Open Access]

Jun-ichiro Furukawa, Shinya Chiyohara, Tatsuya Teramae, Asuka Takai, Jun Morimoto (2021)
A Collaborative Filtering Approach Toward Plug-and-Play Myoelectric Robot Control
IEEE Transactions on Human-Machine Systems, Vol. 51, Issue 5, 514-523.
[Open Access]

Jun-ichiro Furukawa, Jun Morimoto (2021)
Composing an Assistive Control Strategy Based on Linear Bellman Combination From Estimated User's Motor Goal
IEEE Robotics and Automation Letters, Vol. 6, Issue 2, 1051-1058.
[Open Access]

Conference Papers

Koji Ishihara, Jun Morimoto (2021)
Computationally Affordable Hierarchical Framework for Humanoid Robot Control
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems
(IROS).
[Available Online]