2019/12/17 by Si Wei Feng, Feng, Si Wei, Jingjin Yu +1
Computer Science · #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #FOS: Mathematics #Optimization and Control (math.OC) #Optimization and Search Problems #Robotic Path Planning Algorithms #Robotics (cs.RO)
paper · pdf · doi:10.48550/arxiv.1912.08591
openalex publication_date 2019/12/17 · openalex created_date 2019/12/26 · openalex updated_date 2026/07/28
We perform structural and algorithmic studies of significantly generalized versions of the optimal perimeter guarding (OPG) problem. As compared with the original OPG where robots are uniform, in this paper, many mobile robots with heterogeneous sensing capabilities are to be deployed to optimally guard a set of one-dimensional segments. Two complimentary formulations are investigated where one limits the number of available robots (OPGLR) and the other seeks to minimize the total deployment cost (OPGMC). In contrast to the original OPG which admits low-polynomial time solutions, both OPGLR and OPGMC are computationally intractable with OPGLR being strongly NP-hard. Nevertheless, we develop fairly scalable pseudo-polynomial time algorithms for practical, fixed-parameter subcase of OPGLR; we also develop pseudo-polynomial time algorithm for general OPGMC and polynomial time algorithm for the fixed-parameter OPGMC case. The applicability and effectiveness of selected algorithms are demonstrated through extensive numerical experiments.