Papers
3
Total Citations
22
H-Index
2
About
Sam Kassoumeh is an emerging researcher specializing in autonomous robotics, multi-vehicle routing optimization, and human-robot interaction. His work addresses some of the most pressing challenges in deploying autonomous mobile robots (AMRs) and unmanned ground vehicles (UGVs) across high-stakes environments, including underground mining, nuclear plant operations, planetary exploration, and military intelligence, surveillance, and reconnaissance (ISR) missions. Kassoumeh's most significant contributions lie in developing heuristic and multi-objective optimization frameworks for complex multi-vehicle path planning problems, particularly in scenarios where human operators must coordinate alongside autonomous systems. His 2023 paper on heuristics for multi-vehicle routing considering human-robot interactions has garnered 17 citations, reflecting growing interest in this practically vital intersection of operations research and robotics. An earlier iteration of that work from 2022 and a 2021 multi-objective optimization study further demonstrate his sustained focus on making autonomous vehicle teams more efficient and human-compatible. With a cumulative citation count of 22 across his key publications, Kassoumeh is establishing a meaningful footprint in autonomous systems research. Students and practitioners working on manned-unmanned teaming, logistics robotics, or military robotics applications will find his optimization-driven approaches both theoretically grounded and practically relevant.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3