Quentin Rouxel
Scholar

Quentin Rouxel

Google Scholar ID: MsBq_uMAAAAJ
CUHK
RoboticHumanoid RobotsMulti-ContactWhole-Body ControlImitation Learning
Citations & Impact
All-time
Citations
177
 
H-index
8
 
i10-index
7
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • - 2024 IEEE-RAS Humanoids conference accepted papers: 'Flow Matching for Multi-Support' and 'LLM Words2Contact'.
  • - 2024 IEEE RA-L journal accepted paper: 'Multi-Contact SEIKO Controller'.
  • - 2024 CoRL workshop presentation: 'Whole-body Control and Bimanual Manipulation: Applications in Humanoids and Beyond'.
  • - 2024 ICRA workshops presentations: 'Human-Centric Multilateral Teleoperation Augmentation: Perception, Telecommunication, and Coordination' and 'Advancements in Trajectory Optimization and Model Predictive Control for Legged Systems'.
  • - 2023 Christmas video release.
  • - 2023 collaborative robotic parcel delivery video recorded during the EuRobin EU project's hackathon in Seville.
Research Experience
  • - Senior Postdoctoral Researcher: 2025 to present, at CUHK (Hong Kong) in the CLOVER Lab, supervised by Fei Chen.
  • - Postdoctoral Research Associate: 2022 to 2025, at Inria Centre at Université de Lorraine, supervised by Jean-Baptiste Mouret and Serena Ivaldi, working on the EuRobin EU project.
  • - Postdoctoral Research Associate: 2018 to 2022, at the University of Edinburgh, School of Informatics, supervised by Zhibin (Alex) Li, working on the FAIR-SPACE UK project.
Education
  • - PhD: December 2017, University of Bordeaux (France), supervised by Olivier Ly and Hugo Gimbert. Worked on small humanoid robots and participated in the international RoboCup soccer competition.
Background
  • - Research interests include complex multi-limb, legged, mobile, and floating-base robots, as well as humanoid robots, multi-contact tasks, and model-based optimization.
  • - Deeply invested in machine learning methods for robotics, recently working on imitation and reinforcement learning using generative techniques such as diffusion models and flow matching.
  • - Especially thrives on hands-on experimentation with real hardware robots.
Miscellany
  • - Personal interests and hobbies not mentioned.
Co-authors
0 total
Co-authors: 0 (list not available)