An application of constraint-based task specification and estimation for sensor-based robot systems
De Laet, T.
Decre, W.
Rutgeerts, J.
Bruyninckx, H.
De Schutter, J.
Katholieke Univ. Leuven, Leuven;
This paper appears in: Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on
Publication Date: Oct. 29 2007-Nov. 2 2007
On page(s): 1658-1664
Location: San Diego, CA,
ISBN: 978-1-4244-0912-9
INSPEC Accession Number: 9862201
Digital Object Identifier: 10.1109/IROS.2007.4399016
Current Version Published: 2007-12-10
Abstract
This paper shows the application of a systematic approach for constraint-based task specification for sensor-based robot systems to a laser tracing example. This approach integrates both task specification and estimation of geometric uncertainty in a unified framework. The framework consists of an application independent control and estimation scheme. An automatic derivation of controller and estimator equations is achieved, based on a geometric task model that is obtained using a systematic task modeling procedure. The paper details the systematic modeling procedure for the laser tracing task and elaborates on the task specific choice of two types of task coordinates: feature coordinates, defined with respect to object and feature frames, which facilitate the task specification, and uncertainty coordinates to model geometric uncertainty. Furthermore, the control and estimation scheme for this specific task is studied. Simulation and real world experimental results are presented for the laser tracing example.
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