Sanjay Tiwari

Isaac Newton Institute for Mathematical Sciences

Papers

Total Citations

H-Index

About

Sanjay Tiwari’s research lies at the intersection of robotics, sensor-based motion planning, and computational geometry, with a focus on enabling autonomous systems to navigate complex, dynamic environments. His most influential work, “An algorithm for maze searching with azimuth input” (2002, 42 citations), addresses a fundamental challenge in robot navigation: how to efficiently search a maze when only directional (azimuth) information is available. By integrating provable graph search schemes with the physical topology of the workspace, Tiwari developed a robust algorithm that significantly improves the performance of sensor-based motion planning systems—a critical contribution for robots operating in GPS-denied or unstructured settings. In a second notable paper, “Velocity bounds for motion planning in the presence of moving planar obstacles” (2002, 7 citations), he extended this work to dynamic environments, deriving theoretical velocity constraints that allow a robot to safely navigate among arbitrarily moving obstacles. This research provides foundational guarantees for real-time collision avoidance, with implications for autonomous vehicles and industrial robotics. Though his citation counts are modest, Tiwari’s work is valued for its rigorous mathematical foundations and practical relevance, making him a respected figure in the field of robot motion planning.