TU Darmstadt / ULB / TUbiblio

Footstep planning in rough terrain for bipedal robots using curved contact patches

Kanoulas, D. ; Stumpf, A. ; Raghavan, V. S. ; Zhou, C. ; Toumpa, A. ; Stryk, Oskar von ; Caldwell, D. G. ; Tsagarakis, N. G. (2018)
Footstep planning in rough terrain for bipedal robots using curved contact patches.
IEEE Int. Conf. on Robotics and Automation (ICRA). Brisbane, Australia
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Bipedal robots have gained a lot of locomotion capabilities the past few years, especially in the control level. Navigation over complex and unstructured environments using exteroceptive perception, is still an active research topic. In this paper, we present a footstep planning system to produce foothold placements, using visual perception and proper environment modeling, given a black box walking controller. In particular, we extend a state-of-the-art search-based planning approach (ARA*) that produces 6DoF footstep sequences in 3D space for flat uneven terrain, to also handle rough curved surfaces, e.g. rocks. This is achieved by integrating both a curved patch modeling system for rough local terrain surfaces and a flat foothold contact analysis based on visual range input data, into the existing planning framework. The system is experimentally validated using real-world point clouds, while rough terrain stepping demonstrations are presented on the WALK-MAN humanoid robot, in simulation.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2018
Autor(en): Kanoulas, D. ; Stumpf, A. ; Raghavan, V. S. ; Zhou, C. ; Toumpa, A. ; Stryk, Oskar von ; Caldwell, D. G. ; Tsagarakis, N. G.
Art des Eintrags: Bibliographie
Titel: Footstep planning in rough terrain for bipedal robots using curved contact patches
Sprache: Englisch
Publikationsjahr: Mai 2018
Ort: Brisbane, Australia
Veranstaltungstitel: IEEE Int. Conf. on Robotics and Automation (ICRA)
Veranstaltungsort: Brisbane, Australia
Zugehörige Links:
Kurzbeschreibung (Abstract):

Bipedal robots have gained a lot of locomotion capabilities the past few years, especially in the control level. Navigation over complex and unstructured environments using exteroceptive perception, is still an active research topic. In this paper, we present a footstep planning system to produce foothold placements, using visual perception and proper environment modeling, given a black box walking controller. In particular, we extend a state-of-the-art search-based planning approach (ARA*) that produces 6DoF footstep sequences in 3D space for flat uneven terrain, to also handle rough curved surfaces, e.g. rocks. This is achieved by integrating both a curved patch modeling system for rough local terrain surfaces and a flat foothold contact analysis based on visual range input data, into the existing planning framework. The system is experimentally validated using real-world point clouds, while rough terrain stepping demonstrations are presented on the WALK-MAN humanoid robot, in simulation.

Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Simulation, Systemoptimierung und Robotik
Hinterlegungsdatum: 24 Jun 2019 13:07
Letzte Änderung: 17 Jan 2022 10:30
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen