Kaarthik Sundar
Papers
2
Total Citations
20
H-Index
2
About
Kaarthik Sundar is a leading researcher in autonomous systems and operations research, with a focus on multi-vehicle routing, human-robot interaction, and optimization for unmanned ground vehicles (UGVs) and autonomous mobile robots (AMRs). His work addresses critical challenges in deploying robotic teams for high-stakes environments such as underground mining, nuclear plant operations, planetary exploration, and military intelligence, surveillance, and reconnaissance (ISR) missions. Sundar’s most cited paper (2023, 17 citations) introduces novel heuristics for multi-vehicle routing problems that explicitly account for human-robot interactions, bridging the gap between algorithmic efficiency and real-world teaming dynamics. His earlier work (2022, 3 citations) laid foundational insights into UGV coordination under manned-unmanned teaming scenarios. By integrating practical constraints like communication delays and task allocation, Sundar’s contributions enable safer and more reliable autonomous operations. His research has direct implications for defense and industrial applications, earning recognition for advancing the frontier of autonomous decision-making. Sundar’s work continues to inspire students and researchers exploring the intersection of robotics, optimization, and human factors.
Research Focus
Key Achievements
Top Papers
- 1
- 2