Title :
Navigation Functions on Cross Product Spaces
Author_Institution :
Johns Hopkins Univ, Baltimore
fDate :
7/1/2007 12:00:00 AM
Abstract :
Given two compact, connected manifolds with corners, and a navigation function (NF, a refined artificial potential function) on each manifold, this paper presents a simple composition law that yields a new NF on the cross product space. The method provides tunable ldquohooksrdquo for shaping the new potential function while still guaranteeing obstacle avoidance and essentially global convergence. The composition law is associative, and successive compositions fold into a single, computational simple expression, enabling the practical construction of NFs on the Cartesian product of several manifolds.
Keywords :
collision avoidance; control system synthesis; mobile robots; robot dynamics; robot kinematics; Cartesian product; composition law; cross product space; navigation function; obstacle avoidance; tunable hook; Control systems; Convergence; Damping; Kinetic energy; Manifolds; Navigation; Noise measurement; Orbital robotics; Refining; Robots; Morse theory; navigation functions; potential shaping;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2007.900834