Kuan Liu
Papers
1
Total Citations
11
H-Index
1
About
Kuan Liu is a robotics researcher whose work centers on the intersection of autonomous navigation, task planning, and practical deployment for public health applications. Their most cited paper, "JPMDP: Joint base placement and multi-configuration path planning for 3D surface disinfection with a UV-C robotic system" (2024, 11 citations), introduces a novel optimization framework that simultaneously determines the optimal placement of a mobile robot base and plans efficient multi-configuration paths for UV-C disinfection of complex 3D surfaces. This contribution addresses a critical gap in robotic sanitation, moving beyond simple 2D coverage to ensure thorough, time-efficient disinfection of irregular environments like hospital rooms and public transit. By formulating the problem as a joint optimization, Kuan Liu’s work enables robots to autonomously adapt their base positions and arm configurations, significantly improving coverage completeness and reducing operational time. This research has immediate implications for enhancing infection control in healthcare settings, demonstrating how robotics can be leveraged for high-stakes, real-world tasks. Kuan Liu’s approach exemplifies a shift toward more intelligent, context-aware robotic systems that integrate perception, planning, and execution for tangible societal benefit.
Research Focus
Key Achievements
Top Papers
- 1