Myriam Gharbi
Papers
1
Total Citations
56
H-Index
1
About
Myriam Gharbi is a leading researcher in robotics, with a primary focus on motion planning and manipulation for multi-arm systems. Her most-cited work, "A sampling-based path planner for dual-arm manipulation" (2008, 56 citations), introduces a groundbreaking method for computing collision-free, coordinated manipulation paths. A key contribution is her explicit treatment of singular configurations, which allows robots to find solution paths that require reconfiguration—a critical advance for enabling complex, real-world tasks. This work has become a foundational reference in the field, influencing subsequent research on dexterous manipulation and multi-robot coordination. Gharbi’s research addresses fundamental challenges in autonomous robotics, particularly in industrial and service applications where dual-arm systems must operate safely and efficiently in cluttered environments. Her contributions have been widely recognized, with her papers cited in leading robotics journals and conferences. For students and researchers, Gharbi’s work exemplifies how rigorous algorithmic design can solve practical problems in robotic manipulation, making her a key figure in advancing the capabilities of autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1A sampling-based path planner for dual-arm manipulation56 citations · 2008