Vincent Padois

About

Vincent Padois is a prominent robotics researcher whose work spans humanoid robotics, human-robot collaboration, and whole-body control, with contributions that have meaningfully shaped how robots learn, move, and interact with people. His early foundational work on wheeled mobile manipulators (2007) established unified frameworks for reactive control, while his survey on online regression algorithms for learning robot mechanical models (2011, 136 citations) became an essential reference for researchers tackling adaptive robot learning. Padois has made significant strides in humanoid whole-body behavior, developing novel task-sequencing and transition strategies that allow robots to dynamically prioritize competing objectives — work that garnered 127 citations. His contributions to collaborative robotics, including human-oriented design principles (2017, 114 citations) and the EU FP7 CoDyCo project on physical human-robot interaction, demonstrate a sustained commitment to making robots safer and more intuitive alongside humans. His widely-used surveys on dynamics simulation tools (2014) have served as practical guides for the broader community. Through developmental approaches to object learning and generalized hierarchical control frameworks, Padois consistently bridges theoretical rigor with real-world applicability, cementing his reputation as a versatile and influential figure in modern robotics research.

Research Focus

Key Achievements

Top Papers

1. 1
   On-line regression algorithms for learning mechanical models of robots: A survey

   136 citations · 2011
2. 2
   Synthesis of complex humanoid whole-body behavior: A focus on sequencing and tasks transitions

   127 citations · 2011
3. 3
   Human-oriented design of collaborative robots

   114 citations · 2017
4. 4
   Tools for simulating humanoid robot dynamics: A survey based on user feedback

   78 citations · 2014
5. 5
   Object Learning Through Active Exploration

   68 citations · 2014
6. 6
   Generalized hierarchical control

   68 citations · 2015
7. 7
   Kinematic and dynamic model-based control of wheeled mobile manipulators: a unified framework for reactive approaches

   62 citations · 2007
8. 8
   Tools for dynamics simulation of robots: a survey based on user feedback

   45 citations · 2014
9. 9
   Evolutionary Robotics: Exploring New Horizons

   43 citations · 2011
10. 10
    The CoDyCo Project Achievements and Beyond: Toward Human Aware Whole-Body Controllers for Physical Human Robot Interaction

    30 citations · 2017

Key Collaborators

Contact & Links