Marina Ten Have
Papers
1
Total Citations
4
H-Index
1
About
Marina Ten Have is a rising researcher in artificial intelligence and robotics, specializing in multi-agent systems and long-horizon planning under uncertainty. Her most-cited work, "Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments" (2024), addresses a critical challenge in autonomous coordination: enabling teams of robots to make effective decisions over extended timeframes when they lack full knowledge of their surroundings. This contribution is foundational for applications like search-and-rescue, warehouse logistics, and environmental monitoring, where robots must adapt to dynamic, incomplete information. Though early in her career, with 4 citations to her flagship paper, Ten Have’s work demonstrates significant promise by bridging theoretical planning algorithms with practical multi-robot deployment. Her research stands out for its focus on scalability and robustness, offering novel methods that reduce computational complexity while maintaining decision quality. As a young scholar, she is already shaping the next generation of autonomous systems, and her growing influence is likely to expand as her methods are adopted in both academic and industrial settings.
Research Focus
Key Achievements
Top Papers
- 1