Motion generation for groups of robots: a centralized, geometric approach

Loading...
Thumbnail Image
Penn collection
Departmental Papers (MEAM)
General Robotics, Automation, Sensing and Perception Laboratory
Degree type
Discipline
Subject
GRASP
Funder
Grant number
License
Copyright date
Distributor
Related resources
Author
Belta, Calin
Contributor
Abstract

We develop a method for generating smooth trajectories for a set of mobile robots. We show that, given two end configurations of the set of robots, by tuning one parameter, the user can choose an interpolating trajectory from a continuum of curves varying from that corresponding to maintaining a rigid formation to motion of the robots toward each other. The idea behind this method is to change the original constant kinetic energy metric in the configuration space and can be summarized into three steps. First, the energy of the motion as a rigid structure is decoupled from the energy of motion along directions that violate the rigid constraints. Second, the metric is "shaped" by assigning different weights to each term, and, third, geodesic flow is constructed for the modified metric. The optimal motions generated on the manifolds of rigid body displacements in 3-D space (SE(3)) or in plane (SE(2)) and the uniform rectilinear motion of each robot corresponding to a totally uncorrelated approach are particular cases of our general treatment.

Advisor
Date of presentation
2002-09-29
Conference name
Departmental Papers (MEAM)
Conference dates
2023-05-16T22:32:13.000
Conference location
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Volume number
Issue number
Publisher
Publisher DOI
Journal Issue
Comments
Postprint version. Published in Proceedings of the ASME Design Engineering Technical Conference, held September 29 - October 2, 2002, Montreal, Canada.
Postprint version. Published in Proceedings of the ASME Design Engineering Technical Conference, September 2002. An earlier, conference version of this paper may be found at http://repository.upenn.edu/meam_papers/17/.
Recommended citation
Collection