Papers
28
Total Citations
1,184
H-Index
12
About
Anis Sahbani is a prominent robotics researcher whose work spans robotic manipulation planning, grasp synthesis, and rehabilitation robotics. Best known for his comprehensive 2011 survey "An overview of 3D object grasp synthesis algorithms" — which has garnered nearly 480 citations and remains a foundational reference in the field — Sahbani has made lasting contributions to how robots understand, plan, and execute grasping and manipulation tasks. A central thread of his research involves probabilistic roadmap methods for manipulation planning, with his 2004 paper on planning with continuous grasp and placement sets accumulating over 275 citations. This work fundamentally advanced how robots can navigate complex manipulation sequences without relying on discrete, pre-enumerated configurations. His 2007 extension to dexterous multi-fingered manipulation further refined these ideas for real-world robotic hands. Beyond classical robotics, Sahbani has made meaningful contributions to rehabilitation engineering, studying hand and upper-limb synergies in both healthy subjects and hemiparetic patients, and exploring how exoskeletons can guide motor relearning. His work on surgical comanipulation devices demonstrates an impressive breadth of application. Across disciplines, Sahbani's research consistently bridges theoretical planning algorithms with practical, human-centered robotic systems.
Research Focus
Key Achievements
Top Papers
- 1An overview of 3D object grasp synthesis algorithms479 citations · 2011
- 2Manipulation Planning with Probabilistic Roadmaps275 citations · 2004
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- 7A hybrid approach for grasping 3D objects28 citations · 2009
- 8Learning the natural grasping component of an unknown object28 citations · 2007
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