Papers
9
Total Citations
162
H-Index
6
About
Julien Guitton is a leading researcher in cognitive robotics, specializing in human-robot interaction (HRI), cooperative task planning, and belief-based reasoning. His work focuses on enabling robots to understand and adapt to human behavior in real-time, open-ended environments. Guitton’s major contributions include developing a platform-independent architecture for cooperative HRI, where robots can learn and execute shared plans by observing and interacting with humans. Notably, his research on managing and exploiting human and robot beliefs—such as reasoning about human perspectives on object positions—has advanced robots’ ability to “put themselves in your shoes,” improving collaboration. His most cited paper (52 citations) lays the foundation for adaptive, cooperative robot systems, while his work on spatio-temporal reasoning (30 citations) and comprehensive collaborative skills (23 citations) underscores his impact. Guitton also contributed the Cell-RRT path planner, which integrates task and motion planning for mobile robots. With over 160 total citations across his key works, his research is pivotal for developing robots that seamlessly share space and tasks with humans, pushing the boundaries of autonomous, socially aware robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3When the robot considers the human23 citations · 2011
- 4
- 5Cell-RRT: Decomposing the environment for better plan14 citations · 2009
- 6
- 7A planning architecture for mobile robotics4 citations · 2008
- 8GEOMETRIC AND SYMBOLIC REASONING FOR MOBILE ROBOTICS3 citations · 2008
- 9Belief Management for HRI Planning2 citations · 2012