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Lazy Robot Control by Relaxation of Motion and Force Constraints

  • Human and robot tasks in household environments include actions such as carrying an object, cleaning a surface, etc. These tasks are performed by means of dexterous manipulation, and for humans, they are straightforward to accomplish. Moreover, humans perform these actions with reasonable accuracy and precision but with much less energy and stress on the actuators (muscles) than the robots do. The high agility in controlling their forces and motions is actually due to "laziness", i.e. humans exploit the existing natural forces and constraints to execute the tasks. The above-mentioned properties of the human lazy strategy motivate us to relax the problem of controlling robot motions and forces, and solve it with the help of the environment. Therefore, in this work, we developed a lazy control strategy, i.e. task specification models and control architectures that relax several aspects of robot control by exploiting prior knowledge about the task and environment. The developed control strategy is realized in four different robotics use cases. In this work, the Popov-Vereshchagin hybrid dynamics solver is used as one of the building blocks in the proposed control architectures. An extension of the solver’s interface with the artificial Cartesian force and feed-forward joint torque task-drivers is proposed in this thesis. To validate the proposed lazy control approach, an experimental evaluation was performed in a simulation environment and on a real robot platform.

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Metadaten
Document Type:Report
Language:English
Author:Djordje Vukcevic
Pagenumber:153
ISBN:978-3-96043-084-1
ISSN:1869-5272
URN:urn:nbn:de:hbz:1044-opus-50392
DOI:https://doi.org/10.18418/978-3-96043-084-1
Advisor:Paul G. Plöger, Herman Bruyninckx, Sven Schneider
Publishing Institution:Hochschule Bonn-Rhein-Sieg
Contributing Corporation:Bonn-Aachen International Center for Information Technology (b-it)
Date of first publication:2020/09/09
Series (Volume):Technical Report / Hochschule Bonn-Rhein-Sieg University of Applied Sciences, Department of Computer Science (03-2020)
Tag:constraint relaxation; control architectures; dynamics; energy; robot control; task models
Departments, institutes and facilities:Fachbereich Informatik
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2020/09/09
Licence (Multiple languages):License LogoIn Copyright - Educational Use Permitted (Urheberrechtsschutz - Nutzung zu Bildungszwecken erlaubt)