Control of humanoid robot motions with impacts: Numerical experiments with reference spreading control

Mark Rijnen, Eric De Mooij, Silvio Traversaro, Francesco Nori, Nathan Van De Wouw, Alessandro Saccon, Henk Nijmeijer

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

21 Citations (Scopus)

Abstract

This work explores the stabilization of desired dynamic motion tasks involving hard impacts at non-negligible speed for humanoid robots. To this end, a so-called reference spreading hybrid control law is designed showing promising results in simulation. The simulations are performed employing a dynamical model of an existing humanoid robot and impacts are assumed to be inelastic. The desired motion task consists of having the robot balancing on one foot while repeatedly making and breaking contact with a wall by means of one hand. The simulation results illustrate that the considered controller is suited to control humanoid robot motions with impacts.

Original languageEnglish
Title of host publicationProceedings 2017 IEEE International Conference on Robotics and Automation (ICRA)
EditorsI-Ming Chen, Yoshihiko Nakamura, Haoyong Yu
Place of PublicationPiscataway, NJ, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages4102-4107
ISBN (Electronic)978-1-5090-4633-1
DOIs
Publication statusPublished - 2017
Event2017 IEEE International Conference on Robotics and Automation, ICRA 2017: ICRA 2017 - Singapore, Singapore
Duration: 29 May 20173 Jun 2017
http://sssa.bioroboticsinstitute.it/workshops/IC3_icra2017

Conference

Conference2017 IEEE International Conference on Robotics and Automation, ICRA 2017
Abbreviated titleICRA 2017
Country/TerritorySingapore
CitySingapore
Period29/05/173/06/17
Internet address

Keywords

  • humanoid robots
  • trajectory
  • dynamics
  • tracking
  • monitoring

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