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Authors: Heiko Hoffmann ; Georgios Petkos ; Sebastian Bitzer and Sethu Vijayakumar

Affiliation: Institute of Perception, Action and Behavior, School of Informatics, University of Edinburgh, United Kingdom

ISBN: 978-972-8865-82-5

Keyword(s): Adaptive control, context switching, Kalman filter, force sensor, robot simulation.

Related Ontology Subjects/Areas/Topics: Adaptive Signal Processing and Control ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Machine Learning in Control Applications ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: Adaptive motor control under continuously varying context, like the inertia parameters of a manipulated object, is an active research area that lacks a satisfactory solution. Here, we present and compare three novel strategies for learning control under varying context and show how adding tactile sensors may ease this task. The first strategy uses only dynamics information to infer the unknown inertia parameters. It is based on a probabilistic generative model of the control torques, which are linear in the inertia parameters. We demonstrate this inference in the special case of a single continuous context variable – the mass of the manipulated object. In the second strategy, instead of torques, we use tactile forces to infer the mass in a similar way. Finally, the third strategy omits this inference – which may be infeasible if the latent space is multi-dimensional – and directly maps the state, state transitions, and tactile forces onto the control torques. The additional tactile in put implicitly contains all control-torque relevant properties of the manipulated object. In simulation, we demonstrate that this direct mapping can provide accurate control torques under multiple varying context variables. (More)

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Paper citation in several formats:
Hoffmann H.; Petkos G.; Bitzer S.; Vijayakumar S. and (2007). SENSOR-ASSISTED ADAPTIVE MOTOR CONTROL UNDER CONTINUOUSLY VARYING CONTEXT.In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-972-8865-82-5, pages 262-269. DOI: 10.5220/0001626602620269

@conference{icinco07,
author={Heiko Hoffmann and Georgios Petkos and Sebastian Bitzer and Sethu Vijayakumar},
title={SENSOR-ASSISTED ADAPTIVE MOTOR CONTROL UNDER CONTINUOUSLY VARYING CONTEXT},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2007},
pages={262-269},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001626602620269},
isbn={978-972-8865-82-5},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - SENSOR-ASSISTED ADAPTIVE MOTOR CONTROL UNDER CONTINUOUSLY VARYING CONTEXT
SN - 978-972-8865-82-5
AU - Hoffmann, H.
AU - Petkos, G.
AU - Bitzer, S.
AU - Vijayakumar, S.
PY - 2007
SP - 262
EP - 269
DO - 10.5220/0001626602620269

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