Design of UVC Surface Disinfection Robot with Coverage Path Planning Using Map-Based Approach At-The-Edge

Abstract

In response to the issue of virus contamination in the cold-chain warehouse or hospital environment under the influence of the COVID-19, we propose the design work of a disinfection robot based on the UVC radiation mechanism using the low-computational path optimization at-the-edge. To build a surface disinfection robot with less computing power to generate a collision-free path with shorter total distance in studies, a 2D map is used as a graph-based approach to automatically generate a closed-loop disinfection path to cover all the accessible surfaces. The discrete disinfection points from the map are extracted with effective disinfection distances and sorted by a nearest-neighbor (NN) search over historical trajectory data and improved A * algorithm to obtain an efficient coverage path to all accessible boundaries of the entire area. The purpose of improved A * algorithm with NN is not to find the optimal path solution but to optimize one with reasonable computing power. The proposed algorithm enhances the path-finding efficiency by a dynamically weighted heuristic function and reduces the path turning angles, which improves the path smoothness significantly requiring less computing power. The Gazebo simulation is conducted, and the prototype disinfection robot has been built and tested in a real lab environment. Compared with the classic A * algorithm, the improved A * algorithm with NN has improved the path-finding efficiency and reduced the path length while covering the same area. Both the simulation and experimental results show that this approach can provide the design to balance the tradeoffs among the path-finding efficiency, smoothness, disinfection coverage, and computation resources.

Development of Far-UVC-Based Surface Disinfection Prototype for Public Buses

“…Other Studies [23][24][25] Not specified, 254 nm Assess the performance, efficiency, and safety of UVC disinfection robots; optimize design and functionality Efforts to enhance the mobility, navigation capabilities, and integration of advanced sensors and AI algorithms.…”

Path Planning of Ant Colony Algorithm Based on Decision Tree in the Context of COVID-19

“…In order to solve the deadlock problem caused by the complete coverage path planning (CCPP) algorithm, a preventive deadlock processing algorithm (PDPA), and an escape route generator algorithm (ERGA) were proposed to improve the disinfection path planning of mobile robots by Rodrigo et al [27]. Wang et al [28] improved the A * algorithm based on the NN, which would help optimize the path solution with reasonable computing power, and constructed a surface disinfection robot with a shorter total distance and collision-free path.…”