Basic Information

Academic Degree

• 25 Mar. 2019

  京都大学修士（情報学）
• 24 Mar. 2025

  京都大学博士（情報学）

Research History

• From Apr. 2025, To Present

  Advanced Telecommunications Research Institute International, Computational Neuroscience Laboratories, Visiting Researcher
• From Apr. 2025, To Present

  Kyoto University, Graduate School of Informatics Department of Systems Science, Program-Specific Assistant Professor
• From Apr. 2022, To Mar. 2025

  Advanced Telecommunications Research Institute International, Computational Neuroscience Laboratories, 研修研究員
• From Apr. 2019, To Mar. 2022

  Japan Society for the Promotion of Science, 特別研究員（DC1）

ID,URL

• ORCID ID

  0009-0001-0712-268X

• J-Global ID

  202501007101659230

• Researcher number

  41005417

researchmap URL

• https://researchmap.jp/s_yamamori_2345

Research

Papers

• Foundational Policy Acquisition via Multitask Learning for Motor Skill Generation

  Satoshi Yamamori; Jun Morimoto

  IEEE Transactions on Cognitive and Developmental Systems, 19 Feb. 2025, Peer-reviewed, Lead author, Corresponding author

  
• Phase-amplitude reduction-based imitation learning.

  Satoshi Yamamori; Jun Morimoto

  Adv. Robotics, Feb. 2025, Peer-reviewed, Lead author, Corresponding author

  
• 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, 23 Jan. 2025, Peer-reviewed, Corresponding author

  
• 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, 17 Jan. 2025, Peer-reviewed

  
• LLM-Guided Zero-Shot Visual Object Navigation with Building Semantic Map

  Jin Shi; Satoshi Yagi; Satoshi Yamamori; Jun Morimoto

  SII, 2025, Peer-reviewed

  
• 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, 23 Oct. 2024, Peer-reviewed

  
• 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, 2018, Peer-reviewed, Lead author

  

Misc.

• Empirical Evaluations of Role Estimation and Motion Imitation Methods in a Multi-agent Imitation Learning Framework

  小作貴司; 山森聡; 八木聡明; 森本淳

  電子情報通信学会技術研究報告(Web), 2024

  
• World Model Learning and Model Predictive Control Towards Realtime and Real World Robot Control

  竹中郁弥; 山森聡; 森田光紀; 八木聡明; 森本淳

  電子情報通信学会技術研究報告(Web), 2024

  
• Low-dimensional action space extraction through prior policy learning and acquisition of object manipulation policies in real environments

  古巻鉄平; 八木聡明; 山森聡; 森本淳

  電子情報通信学会技術研究報告(Web), 2024

  
• Empirical Evaluation of State Estimation Performance of A Multi-View World Model

  石津敦弥; 山森聡; 八木聡明; 森本淳

  電子情報通信学会技術研究報告(Web), 2024

  
• Adaptation of walking strategies to different ground conditions for a quadruped robot using hierarchical reinforcement learning

  甲斐舜也; 八木聡明; 後藤祐汰; 山森聡; 森本淳

  電子情報通信学会技術研究報告(Web), 2024

  
• 動的な非協力ゲームとしての複数エージェント経路探索問題の検討

  小幡岬; 八木聡明; 山森聡; 森本淳

  電子情報通信学会技術研究報告(Web), 2024

  
• モジュラーロボットに向けた階層的な方策構築

  武田照; 山森聡; 八木聡明; 森本淳

  日本ロボット学会学術講演会予稿集(CD-ROM), 2024

  

Presentations

• 暗黙的マルチタスクRLのための方策適合

  山森聡; 森本淳

  第26回情報論的学習理論ワークショップ (IBIS2023)

  
• MEMS慣性計測ユニットを用いた全方位移動ロボットのすべり推定

  山森聡; 伊藤和晃; 杉浦藤虎; 渡辺正人

  平成25年度電気学会関西支部高専卒業研究発表会講演論文集, 02 Mar. 2014

  

Industrial Property Rights

• 特開2025-029761, 特願2023-134568, 強化学習処理システム、強化学習処理方法、および、プログラム

  山森 聡; 森本 淳

  
• 特許第6944201号, 特開2020-184171, 特願2019-087869, 電子回路、ハードウェアコンポーネント、エッジ処理システム、エッジコンピューティングシステム、識別方法、識別プログラム

  増井 隆治; 山森 聡; 木虎 直樹

  

Awards

• 24 Feb. 2024

  AROB-ISBC-SWARM2024 BestPaperAward (ISAROB)
• 24 Jun. 2012

  RoboCup 2012 Certification of Award 3rd Place (RoboCup Federation)