Swapnil Shende
Papers
1
Total Citations
3
H-Index
1
About
Swapnil Shende is a robotics researcher whose work centers on autonomous navigation, sensor fusion, and real-time path planning for mobile robots. His most-cited paper, "Real-time localisation and path-planning in ackermann steering robot using a single RGB camera and 2D LIDAR" (2017), addresses a critical challenge in autonomous vehicle development: enabling reliable, low-cost navigation without expensive sensor suites. By fusing data from a single RGB camera with 2D LIDAR, Shende demonstrated a practical approach to simultaneous localisation and mapping (SLAM) for Ackermann-steering platforms—a configuration common in cars and many mobile robots. This work contributes to the broader goal of reducing road accidents caused by human error and mitigating traffic-related pollution through accessible autonomous driving technology. Though his citation count stands at three, the paper’s focus on rapid prototyping and cost-effective solutions reflects a growing trend in robotics toward democratizing autonomy. Shende’s research is particularly relevant for students and engineers seeking to implement real-time navigation on resource-constrained platforms, bridging the gap between theoretical algorithms and deployable systems. His work underscores the importance of integrating diverse sensing modalities to achieve robust, real-world performance in autonomous vehicles.
Research Focus
Key Achievements
Top Papers
- 1