Papers
12
Total Citations
145
H-Index
5
About
Samir Lahouar is a leading researcher in robotics, specializing in path planning, cable-driven parallel robots, and medical robotics. His work addresses critical challenges in robot motion, including collision avoidance, singularity avoidance, and dynamic feasibility, with a strong focus on real-world applications. Lahouar’s most influential contribution is his 2009 paper on collision-free path planning for cable-driven parallel robots, which has garnered 83 citations and remains a foundational reference in the field. He has also developed efficient algorithms for multi-degree-of-freedom manipulators in dynamic environments (2006, 15 citations) and pioneered singularity-free path planning for parallel robots (2008, 11 citations). In recent years, Lahouar has advanced medical robotics, designing a digital twin for a multi-robot surgical platform (2024, 5 citations) and optimizing multi-robot placement for medical applications (2022, 4 citations). His work on hybrid cable-serial robots for lower-limb rehabilitation (2017) and robot-assisted camera holders for laparoscopic surgery (2024) demonstrates his commitment to translating robotic innovations into healthcare solutions. With over 140 total citations, Lahouar’s research continues to shape the future of safe, efficient, and clinically relevant robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Collision free path-planning for cable-driven parallel robots83 citations · 2009
- 2Real-Time Path Planning for Multi-DoF Manipulators in Dynamic Environment15 citations · 2006
- 3Singularity Free Path Planning for Parallel Robots11 citations · 2008
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- 7Path Planning for Manipulator Robots in Cluttered Environments4 citations · 2005
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- 9Dynamic in Path Planning of a Cable Driven Robot3 citations · 2013
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