Geometrical interpretation and detection of multiple task conflicts using a coordinate invariant index

Vincenzo Schettino, Mario D. Fiore, Claudia Pecorella, Fanny Ficuciello, Felix Allmendinger, Johannes Lachner, Stefano Stramigioli, Bruno Siciliano

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Modern robots act in dynamic and partially unknown environments where path replanning can be mandatory if changes in the environment are observed. Task-prioritized control strategies are well known and effective solutions to ensure local adaptation of robot behaviour. The highest priority in a stack of tasks is typically given to the management of correct robot operation or safe interaction with the environment such as obstacles or joint limits avoidance, that we can consider as constraints. If a constraint makes impossible achieving a certain task, such as tracking a Cartesian trajectory, a local control algorithm partially sacrifices the latter which is only accomplished to the best of the robot's ability to generate internal motions. In this control framework, problems may occur in some applications, like in the surgical domain, where it is not safe that some tasks are simply sacrificed without prior notice. The contribution of this work is to introduce a coordinate invariant index, that is used to provide a geometrical interpretation of task conflicts in a task-priority control framework and to develop a method for on-line detection of algorithmic singularities, with the goal of increasing safety and performances during robot operations.

Original languageEnglish
Title of host publication2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020
PublisherIEEE
Pages6613-6618
Number of pages6
ISBN (Electronic)9781728162126
DOIs
Publication statusPublished - 10 Feb 2021
EventIEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020: Consumer Robotics and Our Future - On-Demand Conference, Las Vegas, United States
Duration: 25 Oct 202025 Nov 2020
https://www.iros2020.org/index.html

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Conference

ConferenceIEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020
Abbreviated titleIROS 2020
CountryUnited States
CityLas Vegas
Period25/10/2025/11/20
Internet address

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