Satoshi Yamamori

Publications

Journal papers

  1. LMA: Latent Motion Adjuster for Physics-based Multi-agent Interaction
    Taiki Yano, Satoshi Yagi, Satoshi Yamamori, Jun Morimoto
    Transactions on Machine Learning Research, 2026, 2026.
    paper
  2. Improvement of fault tolerance of quadruped robots by detecting correlation anomalies in sensor signals
    Eisuke Matsubara, Satoshi Yagi, Yuta Goto, Satoshi Yamamori, Jun Morimoto
    Artificial Life and Robotics, 2025.
    DOI
  3. An empirical evaluation of a hierarchical reinforcement learning method towards modular robot control
    Sho Takeda, Satoshi Yamamori, Satoshi Yagi, Jun Morimoto
    Artificial Life and Robotics, 2025.
    Corresponding author.
    DOI
  4. Phase-amplitude reduction-based imitation learning
    Satoshi Yamamori, Jun Morimoto
    Advanced Robotics, 39(3), pp. 156–170, 2025.
    First and corresponding author.
    DOI
  5. Foundational Policy Acquisition via Multitask Learning for Motor Skill Generation
    Satoshi Yamamori, Jun Morimoto
    IEEE Transactions on Cognitive and Developmental Systems, 17(5), pp. 1260–1271, 2025.
    First and corresponding author.
    DOI
  6. Joint-Aware Transformer: An Inter-Joint Correlation Encoding Transformer for Short-Term 3D Human Motion Prediction
    Chang Liu, Satoshi Yagi, Satoshi Yamamori, Jun Morimoto
    IEEE Access, 12, pp. 156683–156693, 2024.
    DOI
  7. Efficient Mini-Batch Training on Memristor Neural Network Integrating Gradient Calculation and Weight Update
    Satoshi Yamamori, Masayuki Hiromoto, Takashi Sato
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E101-A(7), pp. 1092–1100, 2018.
    First author.
    DOI

International conferences

  1. Parameter-Space Policy Composition for Sim-to-Real Transfer in Quadruped Locomotion Control
    Yuta Goto, Satoshi Yamamori, Satoshi Yagi, Jun Morimoto
    Neural Information Processing (ICONIP 2025), Lecture Notes in Computer Science, Springer, pp. 360–374, 2026.
    Corresponding author.
    DOIpaper
  2. M2oE: Modular Mixture of Experts for Multi-Morphology Reinforcement Learning of Modular Robots
    Chang Liu, Qinchao Xu, Satoshi Yagi, Satoshi Yamamori, Yaonan Zhu, Yusuke Iwasawa, Kazuya Yoshida, Jun Morimoto
    IEEE International Conference on Robotics and Automation (ICRA 2026), 2026.
  3. When the Adversary Knows You Better: Adversarial Training for Learning-Based Legged Robots
    Qinchao Xu, Satoshi Yagi, Satoshi Yamamori, Jun Morimoto
    IEEE International Conference on Robotics and Automation (ICRA 2026), 2026.
  4. Motion Generation for Modular Robots Using Hierarchical Policies
    Kenjiro Minamikawa, Satoshi Yamamori, Satoshi Yagi, Sho Takeda, Kazuya Yoshida, Jun Morimoto
    IEEE International Conference on Robotics and Automation (ICRA 2026), 2026.
  5. A Multitask Reinforcement Learning Method for Robots with Heterogeneous Morphologies Towards Modular Robot Control
    Ryuki Kinuya, Satoshi Yagi, Sho Takeda, Satoshi Yamamori, Jun Morimoto
    IEEE International Conference on Ubiquitous Robots (UR), pp. 369–375, 2026.
    DOI
  6. LLM-Guided Zero-Shot Visual Object Navigation with Building Semantic Map
    Jin Shi, Satoshi Yagi, Satoshi Yamamori, Jun Morimoto
    IEEE/SICE International Symposium on System Integration (SII), pp. 1274–1279, 2025.
    DOI
  7. Hierarchically Connecting Modularly-Learned Policies to Generate a Controller for a Combined Robot System
    Sho Takeda, Satoshi Yamamori, Satoshi Yagi, Jun Morimoto
    21st IEEE International Conference on Automation Science and Engineering (CASE), pp. 1722–1727, 2025.
    DOI
  8. Generating Velocity-Adaptive Manipulation Through Learning from Human Movement Speed Variations
    Kai Tsunoda, Satoshi Yagi, Satoshi Yamamori, Jun Morimoto
    2025 IEEE-RAS 24th International Conference on Humanoid Robots (Humanoids), pp. 712–719, 2025.
    DOI
  9. VecNav: Vector Goal Robot Navigation from In-the-wild Videos
    Ruixiang Cao, Satoshi Yagi, Satoshi Yamamori, Jun Morimoto
    2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 17207–17214, 2025.
    DOI

Preprints

  1. Goal-Conditioned Terminal Value Estimation for Real-time and Multi-task Model Predictive Control
    Mitsuki Morita, Satoshi Yamamori, Satoshi Yagi, Norikazu Sugimoto, Jun Morimoto
    arXiv:2410.04929, 2024.
    DOIpaper