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On Null Space-Based Inverse Kinematics Techniques for Fleet Management: Toward Time-Varying Task Activation
Örebro University, School of Science and Technology. Research Center “E. Piaggio”, University of Pisa, Pisa, Italy. (Multi-Robot Planning, and Control Lab, Center for Applied Autonomous Sensor Systems (AASS))ORCID iD: 0000-0003-1627-0921
Research Center “E. Piaggio”, University of Pisa, Pisa, Italy.ORCID iD: 0000-0003-2665-3950
Research Center “E. Piaggio”, University of Pisa, Pisa, Italy.ORCID iD: 0000-0002-9480-8857
2021 (English)In: IEEE Transactions on robotics, ISSN 1552-3098, E-ISSN 1941-0468, Vol. 37, no 1, p. 257-274Article in journal, Editorial material (Refereed) Published
Abstract [en]

Multirobot fleets play an important role in industrial logistics, surveillance, and exploration applications. A wide literature exists on the topic, both resorting to reactive (i.e. collision avoidance) and to deliberative (i.e. motion planning) techniques. In this work, null space-based inverse kinematics (NSB-IK) methods are applied to the problem of fleet management. Several NSB-IK approaches existing in the literature are reviewed, and compared with a reverse priority approach, which originated in manipulator control, and is here applied for the first time to the considered problem. All NSB-IK approaches are here described in a unified formalism, which allows (i) to encode the property of each controller into a set of seven main key features, (ii) to study possible new control laws with an opportune choice of these parameters. Furthermore, motivated by the envisioned application scenario, we tackle the problem of task-switching activation. Leveraging on the iCAT TPC technique Simetti and Casalino, 2016, in this article, we propose a method to obtain continuity in the control in face of activation or deactivation of tasks, and subtasks by defining suitable damped projection operators. The proposed approaches are evaluated formally, and via simulations. Performances with respect to standard methods are compared considering a specific case study for multivehicles management.

Place, publisher, year, edition, pages
IEEE, 2021. Vol. 37, no 1, p. 257-274
Keywords [en]
Formal methods in robotics and automation, motion control, multirobot systems, path planning for multiple mobile robots or agents.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Automatic Control
Identifiers
URN: urn:nbn:se:oru:diva-85803DOI: 10.1109/TRO.2020.3018642ISI: 000616309300016Scopus ID: 2-s2.0-85090925455OAI: oai:DiVA.org:oru-85803DiVA, id: diva2:1468307
Projects
ILIAD European ProjectCrossLab Project (Departments of Excellence)
Funder
EU, Horizon 2020, 732737
Note

Funding Agency:

Ministry of Education, Universities and Research (MIUR)

Available from: 2020-09-17 Created: 2020-09-17 Last updated: 2021-03-09Bibliographically approved

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Mannucci, Anna

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