Abstract :
A provably-correct discrete version of the harmonic potential field (HPF) approach to motion planning was suggested by Masoud, A [2006]. The approach utilizes the strong relation between graph theory and electrical network theory for developing a framework of theories and definitions that, among other things, can strongly aid in developing a discrete HPF planning approach. This framework was used to suggest an efficient, optimal, novel, discrete planning method called the M* algorithm. In this paper an in-place, successive relaxation procedure is suggested for implementing the M* algorithm. Also, the utility of the discrete HPF approach is demonstrated in robust, data network routing.
Keywords :
graph theory; path planning; robots; data network routing; discrete harmonic potential approach; discrete planning method; electrical network theory; graph theory; motion planning; weighted graph; Boundary conditions; Graph theory; Motion control; Navigation; Path planning; Robot sensing systems; Robustness; Routing; Sampling methods; Signal generators;