Abstract. The problem of coverage without a priori global information about the environment is a key element of the general exploration problem. Applications vary from exploration of the Mars surface to the urban search and rescue (USAR) domain, where neither a map, nor a Global Positioning System (GPS) are available. We propose two algorithms for solving the 2D coverage problem using multiple mobile robots. The basic premise of both algorithms is that local dispersion is a natural way to achieve global coverage. Thus, both algorithms are based on local, mutually dispersive interaction between robots when they are within sensing range of each other. Simulations show that the proposed algorithms solve the problem to within 5-7% of the (manually generated) optimal solutions. We show that the nature of the interaction needed between robots is very simple; indeed anonymous interaction slightly outperforms a more complicated local technique based on ephemeral identification.
In terms of MCPP, Batalin and Sukhatme REF proposed two local approaches for MCPP in unknown environments, based on mutually dispersive interaction between robots.
Spreading Out: A Local Approach to Multi-robot Coverage
in Proc. of 6th International Symposium on Distributed Autonomous Robotic Systems
Computer Science