Sankalp Pund
Papers
1
Total Citations
3
H-Index
1
About
Sankalp Pund is a robotics researcher specializing in autonomous navigation, sensor fusion, and real-time path planning for mobile robots. His work focuses on developing cost-effective, robust solutions for self-driving vehicles by integrating vision-based and LIDAR-based perception systems. In his most-cited paper, "Real-time localisation and path-planning in ackermann steering robot using a single RGB camera and 2D LIDAR," Pund addresses the critical challenge of enabling reliable autonomous navigation without expensive hardware. By combining a single RGB camera with 2D LIDAR data, he demonstrated a practical approach to localization and path planning for Ackermann-steering robots, contributing to the broader goal of reducing road accidents and traffic pollution through accessible autonomous vehicle technology. This work has garnered 3 citations, reflecting its niche but growing influence in the rapid prototyping and low-cost autonomy community. Pund’s contributions are particularly valuable for researchers and students exploring scalable, real-world implementations of autonomous systems, emphasizing efficiency and affordability over high-end sensor suites. His research aligns with the pressing need for safer, cleaner transportation, making him a notable figure in the field of applied robotics and autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1