Shubhankar Potdar
Papers
1
Total Citations
3
H-Index
1
About
Shubhankar Potdar is a robotics and autonomous systems researcher whose work focuses on real-time perception, localisation, and path-planning for intelligent vehicles. His key contributions lie in developing cost-effective, sensor-fusion approaches that enable robust navigation in unstructured environments. His most cited paper, "Real-time localisation and path-planning in ackermann steering robot using a single RGB camera and 2D LIDAR" (2017, 3 citations), addresses the critical challenge of reducing reliance on expensive sensor suites by combining a monocular camera with a 2D LIDAR for simultaneous localisation and path-planning. This work directly tackles the dual problems of rising road accidents due to human error and traffic-related pollution, advocating for accessible autonomous navigation platforms. Potdar’s research is notable for its practical emphasis on rapid prototyping and low-cost sensor integration, making autonomous vehicle technology more scalable and deployable. His work contributes to the broader goal of safer, more efficient transportation systems, and his approach continues to influence researchers exploring minimalist sensor configurations for real-world robotic navigation.
Research Focus
Key Achievements
Top Papers
- 1