Vivek Thangavelu
Cornell University, University at Buffalo, State University of New York
Papers
7
Total Citations
108
H-Index
6
About
Vivek Thangavelu is a pioneering roboticist whose research lies at the intersection of multi-robot coordination, autonomous construction, and environmental adaptation. His work addresses fundamental challenges in deploying robots to unstructured, communication-restricted environments—from subterranean tunnels to contaminated soil sites. Thangavelu’s most impactful contribution is the ACHORD framework (37 citations), which introduces communication-aware coordination for multi-robot exploration, enabling teams to maintain intermittent connectivity while maximizing coverage efficiency. He has also made seminal advances in autonomous environmental modification, demonstrating how robots can adaptively reshape unstructured 3D terrain using found materials to maintain navigability (22 citations). His work on heterogeneous robot teams capable of multi-material construction (19 citations) extends these capabilities to building motion support structures from previously unseen objects. Thangavelu contributed to Team CoSTAR’s NeBula solution for the DARPA Subterranean Challenge, developing extensions for larger-scale environments. His recent research on autonomous soil sampling and analysis (10 citations) promises to revolutionize site characterization for environmental remediation. Across his publications, Thangavelu consistently pushes the boundaries of what autonomous systems can achieve in the most challenging, real-world environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Autonomous Adaptive Modification of Unstructured Environments22 citations · 2018
- 3Autonomous multi-material construction with a heterogeneous robot team19 citations · 2019
- 4Path to autonomous soil sampling and analysis by ground-based robots10 citations · 2024
- 5Autonomous Modification of Unstructured Environments with Found Material9 citations · 2020
- 6
- 7Autonomous Multi-material Construction with a Heterogeneous Robot Team4 citations · 2019