Abstract
A fixed geometric trajectory ensuring the success of an assembly task to be performed by a robot cannot be determined a priori when the geometric uncertainty is significant. In order to decrease the influence of the geometric uncertainty, passive compliance devices have been extensively applied; nevertheless, the general solution appears to be the use of active compliance, which involves reaction force/torque feedback, and gives rise to some particular problems in task planning and execution. Configuration and force/torque sensory information becomes a key point in this field. This chapter describes how this sensory information can be used in an assembly fine-motion planner and also during task execution; two approaches, one analytical and the other learning approaches, are presented and compared.
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© 1999 Springer Science+Business Media New York
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Suárez, R., Basañez, L., Rosell, J. (1999). Contact Estimation for Compliant Motion Control. In: Morik, K., Kaiser, M., Klingspor, V. (eds) Making Robots Smarter. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5239-0_5
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DOI: https://doi.org/10.1007/978-1-4615-5239-0_5
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7388-9
Online ISBN: 978-1-4615-5239-0
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