Robot Control for Simultaneous Impact Tasks through Time-Invariant Reference Spreading

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

4 Citations (Scopus)
26 Downloads (Pure)

Abstract

With the goal of enabling the exploitation of impacts in robotic manipulation, a new framework is presented for control of robotic manipulators that are tasked to execute nominally simultaneous impacts. In this framework, we employ tracking of time-invariant reference vector fields corresponding to the ante- and post-impact motion, increasing its applicability over similar conventional tracking control approaches. The ante- and post-impact references are coupled through a rigid impact map, and are extended to overlap around the area where the impact is expected to take place, such that the reference corresponding to the actual contact state of the robot can always be followed. As a sequence of impacts at the different contact points will typically occur, resulting in uncertainty of the contact mode and unreliable velocity measurements, a new interim control mode catered towards time-invariant references is formulated. In this mode, a position feedback signal is derived from the ante-impact velocity reference, which is used to enforce sustained contact in all contact points without using velocity feedback. With an eye towards real implementation, the approach is formulated using a QP control framework, and is validated using numerical simulations both on a rigid robot with a hard inelastic contact model and on a realistic robot model with flexible joints and compliant partially elastic contact model.
Original languageEnglish
Title of host publicationProceedings of the American Control Conference, ACC 2023
PublisherInstitute of Electrical and Electronics Engineers
Pages46-53
Number of pages8
ISBN (Electronic)979-8-3503-2806-6
DOIs
Publication statusPublished - 3 Jul 2023
Event2023 American Control Conference, ACC 2023 - San Diego, United States
Duration: 31 May 20232 Jun 2023

Conference

Conference2023 American Control Conference, ACC 2023
Abbreviated titleACC 2023
Country/TerritoryUnited States
CitySan Diego
Period31/05/232/06/23

Funding

This work was partially supported by the Research Project I.AM. through the European Union H2020 program under GA 871899.

FundersFunder number
European Union's Horizon 2020 - Research and Innovation Framework Programme871899

    Fingerprint

    Dive into the research topics of 'Robot Control for Simultaneous Impact Tasks through Time-Invariant Reference Spreading'. Together they form a unique fingerprint.

    Cite this