Mansour Selseleh Jonban
Papers
1
Total Citations
3
H-Index
1
About
Dr. Mansour Selseleh Jonban is a researcher whose work lies at the intersection of robotics, artificial intelligence, and multi-agent systems, with a particular focus on optimizing coordination and planning in complex environments. His most-cited paper, "A combined auction mechanism for online instant planning in multi-robot transportation problem" (2018), introduces a novel hybrid auction algorithm that enables multiple robots to dynamically and efficiently coordinate the transportation of objects in real time. This contribution addresses a critical challenge in robotics—how to allocate tasks among autonomous agents with minimal delay and maximal efficiency—and has garnered attention from peers working in automated logistics and swarm intelligence. With 3 citations, this work stands as a foundational piece for researchers exploring decentralized, market-based approaches to multi-robot task allocation. Dr. Jonban’s research demonstrates a clear commitment to bridging theoretical algorithm design with practical, real-world applications, offering scalable solutions that could transform industries such as warehouse automation, manufacturing, and disaster response. His work continues to inspire students and scholars interested in the future of intelligent, cooperative robotic systems.
Research Focus
Key Achievements
Top Papers
- 1