Sanjeev Saluja
Papers
1
Total Citations
20
H-Index
1
About
Sanjeev Saluja is a computer scientist whose research lies at the intersection of computational geometry, online algorithms, and robotics. His most cited work, "Optimal on-line algorithms for walking with minimum number of turns in unknown streets" (1997, 20 citations), addresses a fundamental challenge in autonomous navigation: how to traverse an unknown environment efficiently without prior knowledge. Saluja’s contribution lies in developing provably optimal online strategies that minimize the number of turns—a critical metric for energy efficiency and path smoothness in robotic systems. This work has influenced subsequent research in competitive analysis for geometric problems, particularly in the context of exploration and mapping. While his citation count reflects a focused, high-impact niche, Saluja’s algorithmic insights have practical implications for mobile robots, autonomous vehicles, and even human wayfinding in complex spaces. His approach combines rigorous theoretical guarantees with real-world applicability, making his research a touchstone for those studying online algorithms in uncertain environments.
Research Focus
Key Achievements
Top Papers
- 1