Papers
4
Total Citations
49
H-Index
3
About
Sarat Chandra Nagavarapu is a researcher advancing the frontiers of autonomous systems, multi-agent robotics, and space technology. His work centers on decentralized coordination, where he has made significant contributions to multi-robot graph exploration and map building. His most cited paper, *"Multi-Robot Graph Exploration and Map Building with Collision Avoidance: A Decentralized Approach"* (2015, 25 citations), introduced scalable algorithms that enable robot teams to efficiently navigate unknown environments while avoiding collisions—a foundational challenge in field robotics. He extended these ideas in *"Generalizing Multi-agent Graph Exploration Techniques"* (2020, 11 citations), broadening their applicability to diverse multi-agent systems. Nagavarapu’s impact spans beyond terrestrial robotics into space applications. His recent work, *"CubeSats for space debris removal from LEO: Prototype design of a robotic arm-based deorbiter CubeSat"* (2024, 10 citations), proposes an innovative, low-cost solution for mitigating orbital debris using compact satellites—a timely contribution to space sustainability. Additionally, his research on *"A Dynamic Object Removal and Reconstruction Algorithm for Point Clouds"* (2023, 3 citations) addresses a critical bottleneck in autonomous vehicle perception: fast, reliable removal of moving objects from 3D environmental data. Through these contributions, Nagavarapu demonstrates a versatile ability to solve complex coordination and perception problems across robotics, autonomous driving, and space engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2Generalizing Multi-agent Graph Exploration Techniques11 citations · 2020
- 3
- 4A Dynamic Object Removal and Reconstruction Algorithm for Point Clouds3 citations · 2023