Title :
A receding horizon control approach to obstacle avoidance
Author :
Kiss, Domokos ; Tevesz, Gábor
Author_Institution :
Dept. of Autom. & Appl. Inf., Budapest Univ. of Technol. & Econ., Budapest, Hungary
Abstract :
The dynamic window approach to collision avoidance is a well-known method in the mobile robotics field. It provides an elegant way to navigate safely in the presence of obstacles, also taking the dynamic properties of the robot into account. There are different variants of this method, all having the same limitation, namely they use an objective function consisting of weighted terms. Different situations require different weights, however, there is no algorithm for choosing them. An inappropriate weighting can inhibit reaching the goal. This paper presents a navigation scheme based on the idea of dynamic window approach (DWA) and using receding horizon control (RHC). This method uses an objective function that does not contain weights. Kinematic and dynamic constraints of the robot are taken into account and a safe and goal-oriented motion is ensured.
Keywords :
collision avoidance; infinite horizon; mobile robots; motion control; navigation; robot dynamics; robot kinematics; DWA; RHC; dynamic window approach; goal-oriented motion; inappropriate weighting; mobile robotics field; navigate safely; navigation scheme; objective function; obstacle avoidance; receding horizon control approach; robot dynamic constraints; robot dynamic property; robot kinematic constraints; weighted terms; Acceleration; Aerospace electronics; Collision avoidance; Dynamics; Navigation; Noise measurement; Robots;
Conference_Titel :
Applied Computational Intelligence and Informatics (SACI), 2011 6th IEEE International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
978-1-4244-9108-7
DOI :
10.1109/SACI.2011.5873036