Papers
82
Total Citations
3,992
H-Index
32
About
Vladimir Lumelsky is a pioneering robotics researcher whose career spans foundational contributions to robot motion planning, sensor-based navigation, and human-robot interaction. Best known for his landmark work on path planning for mobile robots operating in unknown environments, Lumelsky developed algorithms that allow autonomous systems to navigate obstacle-filled spaces using only local sensory information — work that has accumulated nearly 400 citations and remains a cornerstone reference in the field. His research on incorporating range sensing into robot navigation further cemented his influence on autonomous systems design. Lumelsky's contributions extend across multiple dimensions of robotics. His classification of the Dubins set (277 citations) provided critical geometric foundations for motion planning, while his work on whole-body collision avoidance in teleoperated manipulators addressed real-time safety challenges that continue to resonate in modern human-robot collaboration. His terrain-covering algorithm for autonomous underwater vehicles opened new directions in field robotics. Perhaps most broadly influential is his 2013 review on tactile skin for robotics (413 citations), which synthesized decades of sensing research and helped define a roadmap for embodied robot perception. His co-authorship on the landmark DARPA/NSF human-robot interaction study further demonstrates his reach across disciplinary boundaries, making Lumelsky an unusually versatile and enduring voice in robotics research.
Research Focus
Key Achievements
Top Papers
- 1Directions Toward Effective Utilization of Tactile Skin: A Review413 citations · 2013
- 2
- 3Classification of the Dubins set277 citations · 2001
- 4Incorporating range sensing in the robot navigation function272 citations · 1990
- 5
- 6A Terrain-Covering Algorithm for an AUV182 citations · 1996
- 7
- 8A terrain-covering algorithm for an AUV144 citations · 1996
- 9
- 10