Papers
47
Total Citations
1,529
H-Index
18
About
Ehud Rivlin is a prominent robotics and computer vision researcher whose work has fundamentally advanced autonomous robot navigation and geometric surface analysis. Best known for his pioneering contributions to the "Bug family" of navigation algorithms, Rivlin developed landmark methods including DistBug and TangentBug — range-sensor-based algorithms that elegantly combine reactive local planning with mathematically guaranteed global convergence, enabling mobile robots to navigate complex, completely unknown environments. These foundational works have accumulated hundreds of citations, with TangentBug-related papers alone drawing over 330 citations across multiple publications, underscoring their lasting influence on the robotics community. Beyond navigation, Rivlin made significant contributions to geometric computing, co-authoring highly cited comparative studies on Gaussian and mean curvature estimation methods for triangular meshes — essential tools in computer graphics, robot vision, and biomedical engineering. His research has also explored visual homing using epipolar geometry, spline-based smooth path planning, and cooperative multi-robot navigation systems. Spanning over two decades of productive scholarship, Rivlin's work reflects a consistent commitment to bridging theoretical rigor with practical robotic applications, making his research essential reading for students and practitioners in autonomous systems, computational geometry, and mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1Sensory-based motion planning with global proofs239 citations · 1997
- 2TangentBug: A Range-Sensor-Based Navigation Algorithm192 citations · 1998
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- 6Visual Homing: Surfing on the Epipoles92 citations · 1999
- 7Spline-Based Robot Navigation61 citations · 2006
- 8Visual homing: Surfing on the epipoles54 citations · 2007
- 9Range-sensor based navigation in three dimensions46 citations · 2003
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