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Path planning algorithm design for autonomous surveillance and coverage task
This project aims to develop a system that improves how robots with restricted operating ranges plan their indoor paths for cleaning or surveying. By dividing indoor spaces into manageable areas, the system will enable robots to complete their jobs more efficiently, optimally covering all necessary ground. This project involves both algorithm development and its implementation in a format that will be convenient to use for other robotics developers.
Faculty Supervisor:
Baris Fidan
Student:
Partner:
Ukrainian Catholic University
Discipline:
Computer science
Sector:
Automotive; Technology
University:
University of Waterloo
Program:
Globalink Research Award
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