Parag Batavia
Papers
6
Total Citations
355
H-Index
6
About
Parag Batavia’s research career is defined by pioneering work in mobile robotics, with a particular focus on enabling robots to navigate and operate autonomously in unstructured, outdoor environments. His major contributions span several critical areas: robust person tracking and following, advanced obstacle detection, and autonomous coverage operations. His most cited work, “People tracking and following with mobile robot using an omnidirectional camera and a laser” (173 citations), introduced novel methods for a robot to track a fast-moving person in dynamic outdoor settings, combining visual and laser data for robust performance. Batavia also made significant advances in obstacle detection, developing an adaptive color segmentation and stereo homography method (64 citations) and a specialized approach for high-curvature terrain (28 citations). He contributed to practical robot navigation with the path planning system for the Cye personal robot (36 citations) and a comprehensive system for extended autonomous coverage in semi-structured environments (30 citations). Notably, his work extended to critical safety applications, including a robot-based Raman detector for remote chemical, biological, and explosive agent detection (24 citations), demonstrating the real-world impact of his research in hazardous environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Path planning for the Cye personal robot36 citations · 2002
- 4Autonomous coverage operations in semi-structured outdoor environments30 citations · 2003
- 5Obstacle detection in smooth high curvature terrain28 citations · 2003
- 6