Departmental Papers (ESE)

Document Type

Conference Paper

Date of this Version

May 1998

Comments

Copyright 1998 IEEE. Reprinted from Proceedings of the IEEE International Conference on Robotics and Automation, Volume 3, 1998, pages 2658-2663.

This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

NOTE: At the time of publication, author Daniel Koditschek was affiliated with the University of Michigan. Currently, he is a faculty member in the Department of Electrical and Systems Engineering at the University of Pennsylvania.

Abstract

We describe work-in-progress toward a nonlinear image-based rigid body dynamic triangulator which we believe tracks a moving target from "essentially all" initial conditions (all initial conditions except a set of measure zero). The dynamic triangulator depends on the goal state only through its image plane position and velocity and requires a navigation function, imposed directly upon image features, to serve as a regressor for a gradient-like state update law.

Share

COinS

Date Posted: 03 June 2008

This document has been peer reviewed.