Srijan Agarwal

Papers

Total Citations

H-Index

About

Srijan Agarwal’s research lies at the intersection of robotics, automation, and algorithmic path planning, with a particular focus on coverage path planning—the challenge of designing efficient routes for robots to systematically cover an area. His most-cited work, the 2019 survey "Simple and Coverage Path Planning for Robots: A Survey," synthesizes decades of progress in the field, offering a clear taxonomy of methods from simple geometric approaches to advanced heuristic and learning-based strategies. With 4 citations, this paper serves as a foundational reference for researchers and students seeking an accessible entry point into coverage path planning, highlighting key trade-offs between simplicity, completeness, and computational efficiency. Agarwal’s contribution is notable for its clarity and breadth, making complex concepts digestible for newcomers while providing seasoned researchers with a structured overview of open challenges. His work underscores the practical importance of path planning in applications like agricultural robotics, search-and-rescue, and autonomous cleaning systems. By bridging theoretical foundations with real-world constraints, Agarwal has helped shape how the robotics community approaches the problem of efficient area coverage, establishing himself as a thoughtful voice in the ongoing evolution of autonomous navigation.