Mohammad Hassanpour
Papers
1
Total Citations
3
H-Index
1
About
Mohammad Hassanpour is a researcher specializing in multi-robot systems, artificial intelligence, and automated planning, with a particular focus on coordination mechanisms for robotic transportation tasks. His most-cited work, "A combined auction mechanism for online instant planning in multi-robot transportation problem" (2018), introduces a novel auction-based algorithm that enables multiple robots to dynamically allocate and transport objects in real time. This contribution addresses critical challenges in decentralized robotics, such as task allocation and collision avoidance, by combining market-driven strategies with instant planning. Although his citation count is still growing, Hassanpour’s research lays important groundwork for scalable, real-world applications in warehouse automation, search-and-rescue, and smart manufacturing. His work demonstrates a practical integration of game theory and robotics, offering a computationally efficient solution for coordinating heterogeneous robot teams. As the field of multi-agent systems expands, Hassanpour’s auction mechanism stands out for its adaptability and low communication overhead, making it a valuable reference for researchers developing autonomous logistics and cooperative robotic systems.
Research Focus
Key Achievements
Top Papers
- 1