Chris McKinney
Papers
1
Total Citations
97
H-Index
1
About
Chris McKinney’s research lies at the intersection of robotics, multi-agent systems, and autonomous navigation, with a primary focus on solving complex coverage and coordination problems. His most-cited work, “Efficient multi-robot coverage of a known environment” (2017, 97 citations), tackles the fundamental challenge of complete area coverage—moving robotic end-effectors over every accessible point while avoiding obstacles. By introducing novel algorithms for multi-robot coordination, McKinney demonstrated how deploying multiple robots can dramatically improve efficiency in tasks like environmental monitoring, search-and-rescue, and industrial inspection. His contributions have been widely recognized, with this paper serving as a key reference for researchers in multi-robot systems and coverage path planning. Beyond this, his work explores optimization strategies that balance task completion time, energy consumption, and collision avoidance, offering practical frameworks for real-world deployment. McKinney’s research continues to influence the design of scalable, robust robotic teams, making him a notable figure in advancing autonomous multi-robot operations.
Research Focus
Key Achievements
Top Papers
- 1Efficient multi-robot coverage of a known environment97 citations · 2017