Fabien Gravot

About

Fabien Gravot is a pioneering roboticist whose work lies at the intersection of symbolic reasoning and geometric motion planning. His most influential contribution is the development of a hybrid planning framework that seamlessly integrates high-level task planning with low-level motion and manipulation constraints—a critical challenge for robots operating in complex, real-world environments. His landmark 2009 paper, "A Hybrid Approach to Intricate Motion, Manipulation and Task Planning," has garnered over 257 citations, establishing a foundational methodology for multi-robot systems handling both objects and spatial constraints. Gravot’s research is perhaps best exemplified by his work on humanoid robots performing daily-life tasks, notably the HRP2-JSK system, which demonstrated a complete pipeline from symbolic reasoning to physical action in a kitchen setting. This work, cited over 110 times, brought the dream of a housekeeping robot closer to reality by combining predefined task sequences with dialogue-based human-robot cooperation. Through the aSyMov project, he pioneered the merging of task and geometric planners, enabling robots to reason about both "what to do" and "how to do it" in three-dimensional worlds. Gravot’s legacy is a unified, scalable approach to robot autonomy that continues to inspire researchers in manipulation, multi-robot coordination, and human-robot collaboration.

Research Focus

Key Achievements

Top Papers

1. 1
   A Hybrid Approach to Intricate Motion, Manipulation and Task Planning

   257 citations · 2009
2. 2
   Humanoid motion generation system on HRP2-JSK for daily life environment

   110 citations · 2006
3. 3
   A Robot Task Planner that Merges Symbolic and Geometric Reasoning

   46 citations · 2004
4. 4
   Cooking for humanoid robot, a task that needs symbolic and geometric reasonings

   32 citations · 2006
5. 5
   Playing with several roadmaps to solve manipulation problems

   17 citations · 2003
6. 6
   An extension of the plan-merging paradigm for multi-robot coordination

   16 citations · 2002
7. 7
   A method for handling multiple roadmaps and its use for complex manipulation planning

   10 citations · 2004
8. 8
   Overview of aSyMov: Integrating motion, manipulation and task planning

   8 citations · 2003

Key Collaborators

Contact & Links