Volume 18 No 12 (2020)
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Service Robot Path Planning using A Star Algorithm in a Moving Obstacle Scenario for Cleaning and Sanitization
Narayan Kumar, Amit Kumar
Abstract
Mobile robots have been widely used in challenging real-world situations in recent years. Reduced human-to-human contact as well as autonomous routine cleaning, sanitization, and support in crowded settings are the main uses of service robots. Service robots are required on congested platforms such as train platforms, hospital patient areas, industry, college, school, and employee and public engagement locations. A different industry began experimenting with service robots during the COVID-19 pandemic. Both stationary and movable barriers can be found on railway platforms. The only source of obstacle position coordinates is the installed cameras.A service robot uses the A star algorithm to avoid or alert itself to impediments to carry out regular cleaning and sanitization. The programme covers all spots as quickly as possible, saving time and effort. The trials were conducted on a grid area featuring moving barriers. MATLAB is used for simulations and analysis. The major advantage of utilising A star is the substantial decrease in memory and computation needs. Numerous additional locations, including offices, hospitals, colleges, and schools, can use the same set of systems. Autonomously cleaned and sanitised public roads, highways, and toll areas can be achieved.
Keywords
Path planning, A star algorithm, Service robot, Obstacle avoidance.
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