Saurav Agarwal

Saurav Agarwal
Postdoctoral researcher, CIS

Saurav’s research focuses on developing theoretical foundations and algorithms for coordination, collaboration, and motion planning for mobile robots. His interests include graph neural networks, combinatorial optimization, and approximation algorithms for designing efficient, adaptive, and resilient systems with online decision-making capabilities. He received his Ph.D. in Computer Science from the University of North Carolina at Charlotte, where he introduced the generalized coverage problem for monitoring complex environments, developed efficient algorithms, and conducted experiments with UAVs and ground robots.

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