
Research
研究
研究業績
カテゴリー
研究領域
年
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LLM-guided Adaptive Compensator: Bringing Adaptivity to Robotic Feedback Control with Large Language Model
Zhongchao Zhou, Yuxi Lu, Yaonan Zhu, Yifei Zhao, Qian Niu, Bin He, Liang He, Wenwei Yu, Yusuke Iwasawa
IEEE Transactions on Automation Science and Engineering (T-ASE), 2026
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Grasp, Reason, Act: Tactile-Language Model for Zeroshot Sim2real Grasp Stability Prediction and Re-Grasping
Gang Yan, Jiaxian Guo, Khrapchenkov Petr, Zhongchao Zhou, Yaonan Zhu, Yusuke Iwasawa
IEEE Robotics and Automation Letters (RA-L), March 2026
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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 & Automation (IEEE ICRA 2026), June 2026
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Offline-Trained GAN-Augmented Highly Adaptive Control with Multi-DoF Fusion for Pneumatic Soft Surgical Robots
Yuxi Lu, Zhongchao Zhou*, Yanmin Zhou, Zhipeng Wang, Shuo Jiang, Wenwei Yu, Bin He (*Corresponding author)
IEEE Transactions on Automation Science and Engineering (T-ASE)
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The Impact of VR and 2D Interfaces on Human Feedback in Preference-Based Robot Learning
Jorge de Heuvel, Daniel Marta, Simon Holk, Iolanda Leite, Maren Bennewitz
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025), October 2025
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RNN-Based Visual Guidance for Enhanced Sense of Agency in Teleoperation with Time-Varying Delays
Tomoya Morita, Simon Armleder, Yaonan Zhu, Hiroto Iino, Tadayoshi Aoyama, Gordon Cheng, Yasuhisa Hasegawa
IEEE Robotics and Automation Letters (RA-L), October 2025
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Real-World Robot Applications of Foundation Models: A Review
Kento Kawaharazuka, Tatsuya Matsushima, Andrew Gambardella, Jiaxian Guo, Chris Paxton, Andy Zeng
Advanced Robotics Best Survey Paper Award
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Middleware-Transparent Callback Enforcement in Commoditized Component-Oriented Real-Time Systems
Takahiro Ishikawa-Aso, Atsushi Yano, Takuya Azumi, Shinpei Kato
Proceedings of the IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2025), May 2025
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FLoRA: Sample-Efficient Preference-based RL via Low-Rank Style Adaptation of Reward Functions
Daniel Marta, Simon Holk, Miguel Vasco, Jens Lundell, Timon Homberger, Finn Busch, Olov Andersson, Danica Kragic, Iolanda Leite
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2025), May 2025
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Enhancing the LLM-Based Robot Manipulation Through Human-Robot Collaboration
Haokun Liu, Yaonan Zhu, Kenji Kato, Atsushi Tsukahara, Izumi Kondo, Tadayoshi Aoyama, Yasuhisa Hasegawa
IEEE Robotics and Automation Letters (RA-L), May 2025 (presented at ICRA 2025)