Site Hu
Ph.D.
Project Researcher at Yoshikawa Laboratory, Graduate School of Engineering Science, University of Osaka
About
Hello, I am Site Hu π. I am a Project Researcher at the Yoshikawa Laboratory, Graduate School of Engineering Science, 
University of Osaka. My research focuses on Explainable Autonomous Robots (XAR).
I received my Ph.D. from University of Osaka, under the supervision of Prof. Takayuki Nagai and Prof. Yuichiro Yoshikawa. Previously, I worked at 
Huawei Technologies Co., Ltd. as a single-board hardware and optical technology engineer. I obtained my M.S. degree in Mechanical Engineering from the Whiting School of Engineering at 
Johns Hopkins University, and my B.S. degree in Mechanical Engineering from 
Shanghai Jiao Tong University (International Honors Program). For more details, please refer to my CV.
π¬ Research Interests: Explainable Robotics, World Models, Reinforcement Learning, and Imitation Learning.
Latest News
Paper Accepted (TARAD, ICRA 2026)
Paper Accepted (TARAD, ICRA 2026)
π I'm presenting my work at the 2026 IEEE International Conference on Robotics and Automation (ICRA2026) in Vienna from June 1-5. I hope you will join me at this industry-leading event!
Personal website sitehu.vercel is now online!
Personal website sitehu.vercel is now online!
π This website is built using an open-source template. Special thanks to the author Zangwei Zheng for providing such an excellent template!
Joined the Moonshot R&D Program as a Project Researcher
Joined the Moonshot R&D Program as a Project Researcher
πΌ Participating in the Moonshot Goal 1 R&D Projects: The Realization of an Avatar-Symbiotic Society where Everyone Can Perform Active Roles without Constraint, led by PM Prof. Hiroshi Ishiguro. Appointed as a Project Researcher at the Graduate School of Engineering Science, University of Osaka, Yoshikawa Laboratory. A new journey begins!
Completion of Ph.D. coursework (Withdrawal after earning required credits)
Completion of Ph.D. coursework (Withdrawal after earning required credits)
π Completed all doctoral requirements and officially withdrew after earning required credits from the Yoshikawa Laboratory, University of Osaka. Sincere thanks to my supervisors and friends for their support!
Paper published (RA-L)
Paper published (RA-L)
π One paper has been published in IEEE Robotics and Automation Letters (RA-L). Thanks to all collaborators!
TARAD: Task-Aware Robot Affordance-Centric Diffusion Policy Learned From LLM-Generated Demonstrations
TARAD: Task-Aware Robot Affordance-Centric Diffusion Policy Learned From LLM-Generated Demonstrations
A method that automatically generates demonstrations using foundation models and distills affordance-centric diffusion policies from them.
Authors: Site Hu, Takayuki Nagai, Takato Horii
Adaptive and transparent decision-making in autonomous robots through graph-structured world models
Adaptive and transparent decision-making in autonomous robots through graph-structured world models
A framework that constructs graph-structured world models from offline datasets and integrates LLMs to enable long-horizon planning and explainable decision-making across multiple tasks.
Authors: Site Hu, Takato Horii, Takayuki Nagai
Explainable autonomous robots in continuous state space based on graph-structured world model
Explainable autonomous robots in continuous state space based on graph-structured world model
An explainable framework based on graph-structured world models that enables long-horizon planning and interpretable decision-making for autonomous robots in continuous state spaces.
Authors: Site Hu, Takayuki Nagai