Yassin Warsame
Papers
1
Total Citations
7
H-Index
1
About
Yassin Warsame is a researcher in robotics and artificial intelligence, with a focus on motion planning and optimization under complex constraints. His most cited work, "Monte-Carlo Search for Prize-Collecting Robot Motion Planning with Time Windows, Capacities, Pickups, and Deliveries" (2019), addresses the challenging problem of coordinating robots in environments with time windows, capacity limits, and pickup-and-delivery tasks. By integrating Monte-Carlo search methods with prize-collecting formulations, Warsame developed algorithms that enable robots to efficiently plan routes while maximizing rewards and adhering to real-world operational constraints. This work, which has garnered 7 citations, contributes to the broader field of multi-agent systems and logistics automation, offering practical solutions for warehouse robotics, autonomous delivery, and service robots. Warsame’s research bridges theoretical optimization and applied robotics, demonstrating how probabilistic search can handle the combinatorial complexity of real-time decision-making. His contributions are particularly relevant for students and researchers exploring task allocation, path planning, and constraint satisfaction in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1