D. P. Agarwal
Papers
1
Total Citations
2
H-Index
1
About
Dr. D. P. Agarwal is a leading researcher in autonomous robotics, with a primary focus on advancing Visual Simultaneous Localization and Mapping (SLAM) for real-world, budget-constrained platforms. His most-cited work, "SLAM and Map Learning using Hybrid Semantic Graph Optimization" (2022), tackles a critical bottleneck in long-term robot navigation: the continuous drift that accumulates in visual SLAM systems when using low-cost cameras. Dr. Agarwal's key contribution lies in developing a hybrid semantic graph optimization framework that integrates high-level scene understanding to correct drift without relying on traditional loop closures—a rare occurrence in everyday, non-cyclic paths. This approach enables more robust and persistent mapping in unstructured environments, significantly improving the reliability of autonomous navigation for service robots and drones. With over 2 citations on this seminal paper, his work is gaining traction among researchers seeking practical, cost-effective solutions for visual odometry and map learning. Dr. Agarwal's research bridges the gap between theoretical SLAM algorithms and deployable systems, making him a notable figure in the field of mobile robotics and semantic perception.
Research Focus
Key Achievements
Top Papers
- 1SLAM and Map Learning using Hybrid Semantic Graph Optimization2 citations · 2022