Sunday , June 24 2018

Using Particle Filters to Find Free Obstacle Trajectories for a Kinematic Chain

Alejandro REYES-AMARO1, Alejandro MESEJO-CHIONG1,
Ramon Mas-SANSO2, Antoni JAUME-I-CAPO2
1 Facultad de Matemática y Computación, Universidad de la Habana, Cuba,
2 Departament de Ciències Matemàtiques i Informàtica,
Universitat de les Illes Balears, Spain,

Abstract: The problem of finding an appropriate path for a mechanical arm that tries to reach a target among obstacles is one of the most important in fields of automation and robotics. It is both a classic inverse kinematics and collision detection problem. This project aimed to construct a tool to plan a path for an articulated arm through a two-dimensional environment with obstacles. The inverse kinematics problem is addressed by heuristics Bayesian particles filter, and the collision detection problem is solved using computational geometry methods for calculating the free configurations space. The proposed tool has a graphical interface with which you can get information from the designed experiments. The feasibility of this approach and its advantages in complex two-dimensional environments is shown. We proved that good results can be obtained with an appropriate selection of the parameters.

Keywords: Inverse kinematics, particle filters, configuration-free space, path planning.

>>Full Text
Alejandro REYES-AMARO, Alejandro MESEJO-CHIONG, Ramon Mas-SANSO, Antoni JAUME-I-CAPO, Using Particle Filters to FindFree Obstacle Trajectories for a Kinematic Chain, Studies in Informatics and Control, ISSN 1220-1766, vol. 22 (2), pp. 185-194, 2013.