Human-Humanoid Collaborative Carrying

Autor: Don Joven Agravante, Abderrahmane Kheddar, Alexander Sherikov, Andrea Cherubini, Pierre-Brice Wieber
Přispěvatelé: Interactive Digital Humans (IDH), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), PAL Robotics, Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria), Joint Robotics Laboratory [Japan] (CNRS-AIST JRL), Centre National de la Recherche Scientifique (CNRS)-National Institute of Advanced Industrial Science and Technology (AIST), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Joint Robotics Laboratory (CNRS-AIST JRL ), National Institute of Advanced Industrial Science and Technology (AIST)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: IEEE Transactions on Robotics
IEEE Transactions on Robotics, IEEE, In press, 35 (4), pp.833-846. ⟨10.1109/TRO.2019.2914350⟩
IEEE Transactions on Robotics, inPress, 35 (4), pp.833-846. ⟨10.1109/TRO.2019.2914350⟩
ISSN: 1552-3098
2374-958X
1941-0468
Popis: International audience; This paper contributes to the field of physical human-robot collaboration. We present a complete control framework, which aims at making humanoid robots capable of carrying objects together with humans. First, we design a template identifying the primitive subtasks necessary for collaborative carrying. Then, these subtasks are formulated as constrained optimization problems for controlling the whole-body motion of a humanoid robot. The subtasks include two walking pattern generators that account for physical collaboration, as well as posture and grasping controllers. Finally, we validate our framework in a variety of collaborative carrying experiments, using the HRP-4 humanoid robot.
Databáze: OpenAIRE