Marc Zinck
Papers
3
Total Citations
204
H-Index
3
About
Marc Zinck is a leading researcher in multirobot coordination and human-robot teaming, whose work has fundamentally advanced how robot teams operate in dynamic, real-world environments. His most influential contribution is the development of robust coordination strategies for robot teams, as demonstrated in his highly cited 2004 paper (117 citations), where he systematically categorized robot malfunctions and proposed solutions for maintaining team performance despite physical failures. Zinck is also renowned for pioneering the concept of "sliding autonomy" in peer-to-peer human-robot teams (2008, 47 citations), enabling seamless transitions of control between humans and robots to optimize task execution. His landmark implementation of the TraderBots market-based coordination approach (2018, 40 citations) provides a versatile, proven framework for multirobot task allocation, validated through extensive experiments with Pioneer II DX robots. With over 200 total citations, Zinck’s work bridges theoretical robustness with practical deployment, making him a key figure in creating resilient, adaptive robot teams that can collaborate effectively with humans in applications ranging from search-and-rescue to space exploration.
Research Focus
Key Achievements
Top Papers
- 1Robust multirobot coordination in dynamic environments117 citations · 2004
- 2Sliding Autonomy for Peer-To-Peer Human-Robot Teams47 citations · 2008
- 3