About

Steven M. LaValle is a pioneering computer scientist whose work sits at the intersection of robotics, artificial intelligence, motion planning, and algorithm design. He is perhaps best known as the author of *Planning Algorithms* (2006), a landmark textbook that has become an essential reference across robotics, computer graphics, aerospace, drug design, and beyond — accumulating over 9,000 citations across its various editions and formats. LaValle's research fundamentally shaped how autonomous systems navigate and plan movement, most notably through his seminal 2001 paper on Randomized Kinodynamic Planning, which introduced the first randomized approach to trajectory design for robots under physical constraints, earning over 3,200 citations and influencing generations of motion planning research. His contributions extend to multi-robot coordination, where he tackled the notoriously complex challenge of computing optimal paths for multiple independent robots, demonstrating both the computational intractability and practical solutions to these problems. His work on visibility-based pursuit-evasion introduced elegant formulations for tracking unpredictable targets in complex environments. Across these domains, LaValle consistently bridged theoretical rigor with practical application, producing foundational algorithms that remain widely used in academic research, autonomous vehicle development, and robotic systems worldwide.

Research Focus

Key Achievements

38
H-Index
121
Papers
17,603
Total Citations
145
Avg Citations/Paper
🏆 Most Cited Paper
Planning Algorithms
5,025 citations · 2006
📈 Most Prolific Year: 2006 (15 Papers)
🤝 Key Collaborators: 95
🏛 Institutions: University of Illinois Urbana-Champaign, Iowa State University, University of Illinois System, Stanford University, Goodwin College, Urbana University

Top Papers

  1. 1
    Planning Algorithms
    5,025 citations · 2006
  2. 2
    Planning Algorithms
    4,200 citations · 2006
  3. 3
    Randomized Kinodynamic Planning
    3,241 citations · 2001
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Key Collaborators

Contact & Links

Available for collaboration
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