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Source Code for Concerted Control: Simulating Robust Bipedal Gaits at Various Speeds in MuJoCo

dc.contributor.author Koseki, Shunsuke
dc.contributor.author Mohseni, Omid
dc.contributor.author Owaki, Dai
dc.contributor.author Hayashibe, Mitsuhiro
dc.contributor.author Seyfarth, Andre
dc.contributor.author Ahmad Sharbafi, Maziar
dc.date.accessioned 2024-09-18T11:08:28Z
dc.date.available 2024-09-18T11:08:28Z
dc.date.created 2024-09-18
dc.date.issued 2024-09-18
dc.description This repository contains source code associated with the paper "Concerted Control: Modulating Joint Stiffness Using GRF for Gait Generation at Different Speeds" by Shunsuke Koseki, Omid Mohseni, Dai Owaki, Mitsuhiro Hayashibe, Andre Seyfarth, and Maziar A. Sharbafi. The code simulates a bipedal model using the MuJoCo physics engine, representing a human with a height of 180cm and a weight of 80kg. The model's movement is constrained to the sagittal plane and includes seven degrees of freedom: one torso joint (between the pelvis and the torso), two hip joints, two knee joints, and two ankle joints. The controller implemented in the model is a bioinspired, simple, and easy-to-implement walking controller, termed Concerted Control. This controller leverages a shared common signal to coordinate movements across multiple joints without relying on predefined trajectories. It builds on our previously developed Force Modulated Compliance (FMC) control concept, which modulates joint stiffness based on ground reaction forces (GRF). In Concerted Control, FMC is applied across multiple joints, enabling implicit coordination through the shared GRF signal, without the need for a centralized controller. We evaluated the performance of Concerted Control on the simulated bipedal walker and demonstrated that it can generate stable walking gaits across a wide range of speeds, from 0.7 to 1.8m/s. Additionally, robustness was assessed through external angular momentum perturbation tests, which showed the gaits to be robust. By replicating key kinematic and kinetic characteristics of human walking, Concerted Control offers a promising framework for enhancing the control of mobile robots and assistive systems. de_DE
dc.identifier.uri https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4348
dc.identifier.uri https://doi.org/10.48328/tudatalib-1551
dc.language.iso en de_DE
dc.rights.licenseCC-BY-NC-4.0 (https://creativecommons.org/licenses/by-nc/4.0)
dc.subject Concerted Control de_DE
dc.subject Bioinspired Walking Controller de_DE
dc.subject Human Locomotion Coordination de_DE
dc.subject Joint Stiffness Modulation de_DE
dc.subject Robustness Against Perturbations de_DE
dc.subject GRF-Modulated Joint Stiffness de_DE
dc.subject.classification 4.41-01
dc.subject.ddc 621.3
dc.title Source Code for Concerted Control: Simulating Robust Bipedal Gaits at Various Speeds in MuJoCo de_DE
dc.type Software de_DE
dc.type Model de_DE
dcterms.accessRights openAccess
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid 0000-0003-2601-1958
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
tuda.history.classification Version=2020-2024;407-01 Automatisierungstechnik, Regelungssysteme, Robotik, Mechatronik, Cyber Physical Systems
tuda.project DFG | GRK2761 | TP_Seyfarth_GRK_2761
tuda.unit TUDa

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