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Online Virtual Repellent Point Adaptation for Biped Walking using Iterative Learning Control

Wang, Shengzhi (2021) Online Virtual Repellent Point Adaptation for Biped Walking using Iterative Learning Control. Master's, Technical University of Munich.

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Item URL in elib:https://elib.dlr.de/141194/
Document Type:Thesis (Master's)
Title:Online Virtual Repellent Point Adaptation for Biped Walking using Iterative Learning Control
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Wang, ShengzhiUNSPECIFIEDhttps://orcid.org/0000-0002-6705-6792UNSPECIFIED
Date:February 2021
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:83
Status:Published
Keywords:Humanoid Locomotion, Divergent Component of Motion, Iterative Learning Control, Walking Adaptation, Model Uncertainties and Inaccuracies
Institution:Technical University of Munich
Department:Department of Electrical and Computer Engineering
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Robotics
DLR - Research area:Raumfahrt
DLR - Program:R RO - Robotics
DLR - Research theme (Project):R - Walking robot/locomotion [RO]
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (since 2013) > Analysis and Control of Advanced Robotic Systems
Deposited By: Mesesan, George-Adrian
Deposited On:28 Apr 2021 14:32
Last Modified:28 Apr 2021 14:32

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