Mairtin Marjollet
Papers
1
Total Citations
9
H-Index
1
About
Mairtin Marjollet is a pioneering researcher in the field of cooperative robotics and autonomous logistics, with a focus on the optimal sizing and reconfiguration of robot fleets for heterogeneous load transport. His most cited work, "Sizing of a fleet of cooperative and reconfigurable robots for the transport of heterogeneous loads" (2022), introduces a novel framework for determining the minimal number of elementary robots needed to dynamically connect and adapt to varying load types—such as a single robot handling a small load or two robots merging to transport a large load or two smaller ones. This contribution addresses critical challenges in scalability and efficiency for warehouse automation and modular robotics, offering a mathematical foundation for fleet design that balances flexibility with resource economy. With 9 citations, his work is gaining traction among researchers in multi-robot systems and industrial logistics. Marjollet’s research stands out for its practical implications, bridging theoretical optimization with real-world deployment, and positions him as an emerging voice in the advancement of reconfigurable robotic systems.
Research Focus
Key Achievements
Top Papers
- 1