Boris Lau
Papers
10
Total Citations
519
H-Index
8
About
Boris Lau is a leading researcher in mobile robotics, with a primary focus on kinodynamic motion planning, autonomous navigation, and human-robot interaction. His most influential work, "Kinodynamic motion planning for mobile robots using splines" (138 citations), introduced a groundbreaking approach to generating time-optimal trajectories by combining global path planning with spline-based trajectory optimization, enabling robots to navigate complex environments with dynamic constraints. Lau further advanced the field with "Efficient grid-based spatial representations for robot navigation in dynamic environments" (132 citations), which developed incremental update techniques for collision maps and distance fields, dramatically improving real-time performance in changing spaces. His contributions extend to omnidirectional robots, where he pioneered methods for non-circular platforms, and to socially aware robotics through the RADHAR project, which focused on semi-autonomous wheelchair navigation adapting to human behavior. With over 500 total citations, Lau’s work on spline fitting, configuration space representations, and multi-model tracking has become foundational for researchers developing agile, safe, and socially integrated robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Kinodynamic motion planning for mobile robots using splines138 citations · 2009
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- 4Multi-model Hypothesis Group Tracking and Group Size Estimation66 citations · 2009
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- 10Adaptive Object Tracking with an Anthropomorphic Robot Head4 citations · 2004