Optimal Motion Generation for Groups of Robots: A Geometric Approach

Author:

Belta Calin1,Kumar Vijay2

Affiliation:

1. MEM Department, Drexel University, Philadelphia, PA 19104

2. GRASP Laboratory, University of Pennsylvania, Philadelphia, PA 19104

Abstract

In this paper we generate optimal smooth trajectories for a set of fully-actuated mobile robots. Given two end configurations, 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 our 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. Third, geodesic flow is constructed for the modified metric. The optimal motions generated on the manifolds of rigid body displacements in 3-D space SE3 or in plane SE2 and the uniform rectilinear motion of each robot corresponding to a totally uncorrelated approach are particular cases of our general treatment.

Publisher

ASME International

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Mechanical Engineering,Mechanics of Materials

Reference21 articles.

1. Yamashita, A., Fukuchi, M., Ota, J., Arai, T., and Asama, H., 2000, “Motion Planning for Cooperative Transportation of a Large Object by Multiple Mobile Robots in a 3D Environment,” Proc. IEEE Int. Conf. Robot. Automat., San Francisco, CA, pp. 3144–3151.

2. Kang, W., Xi, N., and Sparks, A., 2000, “Formation control of autonomous agents in 3D workspace,” Proc. IEEE Int. Conf. Robot. Automat., San Francisco, CA, pp. 1755–1760.

3. Fox, D., Burgard, W., Kruppa, H., and Thrun, S., 2000, “Collaborative Multi-robot Exploration,” Autonomous Robots, 8(3), pp. 325–344.

4. Balch, T., and Arkin, R. C., 1998, “Behavior-based Formation Control for Multi-Robot Teams,” IEEE Trans. Rob. Autom., 14(6), pp. 1–15.

5. Parker, L. E., 2000, “Current State of the Art in Distributed Autonomous Mobile Robotics,” Proc. International Symposium on Distributed Autonomous Robotic Systems, Knoxville, TN, pp. 3–12.

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