About

S. Sekhavat is a prominent robotics researcher whose work has fundamentally advanced the field of motion planning for nonholonomic and mobile robotic systems. With a career spanning over two decades, Sekhavat has made seminal contributions to solving one of robotics' most challenging problems: enabling robots with movement constraints to navigate complex environments efficiently and safely. Sekhavat's most influential work, "Guidelines in Nonholonomic Motion Planning for Mobile Robots" (2006), has garnered over 320 citations, establishing foundational principles that researchers and engineers continue to rely upon. His multilevel path planning approach (1998, 140 citations) introduced an elegant hierarchical framework that intelligently decomposes complex planning problems, while his sustained work on the Hilare trailer system demonstrated how theoretical advances could be realized in rigorous real-world experiments. Beyond classical nonholonomic systems, Sekhavat extended his expertise to dynamic environments through the innovative Non-Linear Velocity Obstacle concept, addressing real-time planning constraints that practical robotics demands. His explorations of differential flatness — applied to bi-steerable cars and the Cycab robot — further demonstrate his versatility across system types. Collectively accumulating over 800 citations, Sekhavat's body of work represents an essential intellectual bridge between theoretical robotics and deployable autonomous systems.

Research Focus

Key Achievements

13
H-Index
16
Papers
879
Total Citations
55
Avg Citations/Paper
🏆 Most Cited Paper
Guidelines in nonholonomic motion planning for mobile robots
321 citations · 2006
📈 Most Prolific Year: 2003 (6 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Laboratoire d'Analyse et d'Architecture des Systèmes, Centre National de la Recherche Scientifique, Institut national de recherche en sciences et technologies du numérique, Centre Inria de l'Université Grenoble Alpes

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago