demoa

A biophysics simulator for muscle-driven motion

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1 to 10 of 17 Results

MPC/OC Code for: Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks Dec 16, 2022 Wochner, Isabell; Schmitt, Syn, 2022, "MPC/OC Code for: Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks", https://doi.org/10.18419/darus-3268, DaRUS, V1 This code allows you reproduce the optimal control and model predictive control results of the paper: "Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks" by Isabell Wochner, Pierre Schumacher, Georg Martius, Dieter Büchler, Syn Schmitt an...
mpc_oc_code_corl.tar.gz Dec 16, 2022 - MPC/OC Code for: Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks Gzip Archive - 227.9 MB - MD5: 89792d633142a824f2a9e151d84d1594 Code for model predictive control (MPC) and optimal control (OC) to control musculoskeletal models in demoa. Please read ReadMe to find a description how to reproduce the numerical experiments of the paper.
README.md Dec 16, 2022 - MPC/OC Code for: Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks Markdown Text - 4.7 KB - MD5: 5cbff34b49a706365c6874dc64fb1239 This file describes how to use and install the necessary code. Please read it to find out how to reproduce the experiments from the paper.
demoa-base: a biophysics simulator for muscle-driven motion Nov 30, 2022 Schmitt, Syn, 2022, "demoa-base: a biophysics simulator for muscle-driven motion", https://doi.org/10.18419/darus-2550, DaRUS, V4 For more information, such as installation, requirements and user guide, please see the demoa-manual.pdf
demoa-base-2.2.tgz Nov 30, 2022 - demoa-base: a biophysics simulator for muscle-driven motion TAR Archive - 31.4 MB - MD5: a3065d7fece7e1b9ecae27487fc87c59 Version 2.2
demoa-manual-2.2.pdf Nov 30, 2022 - demoa-base: a biophysics simulator for muscle-driven motion Adobe PDF - 662.4 KB - MD5: d347621c005465a6b58857f25d49b968 Version 2.2
gspine: A Human Spine Model Built Using Literature Data Oct 6, 2022 Hammer, Maria; Riede, Julia Maria; Meszaros-Beller, Laura; Schmitt, Syn, 2022, "gspine: A Human Spine Model Built Using Literature Data", https://doi.org/10.18419/darus-2814, DaRUS, V3 A fully articulating human spine model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. The model is prepared to run muscle-driven simulation using a simple biological motor control model. The file...
arm26: A Human Arm Model Oct 6, 2022 Wochner, Isabell; Schmitt, Syn, 2022, "arm26: A Human Arm Model", https://doi.org/10.18419/darus-2871, DaRUS, V2 An arm model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. This arm26 model consists of a musculoskeletal model of the arm with two degrees of freedom actuated by six muscles. The model is prepar...
arm26.tgz Oct 6, 2022 - arm26: A Human Arm Model Compressed Archive - 16.6 MB - MD5: fe30c7f2688fe1072cacef772ed7c760 Contains all files for the model, including the technical description and a readme file how to use/run the model.
README.md Oct 6, 2022 - arm26: A Human Arm Model Markdown Text - 6.0 KB - MD5: a61be801b2895d063bd1b27339baf96b This file describes how to install and use the model and how to run a first simple simulation.

MPC/OC Code for: Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks

Dec 16, 2022

Wochner, Isabell; Schmitt, Syn, 2022, "MPC/OC Code for: Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks", https://doi.org/10.18419/darus-3268, DaRUS, V1

This code allows you reproduce the optimal control and model predictive control results of the paper: "Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks" by Isabell Wochner, Pierre Schumacher, Georg Martius, Dieter Büchler, Syn Schmitt an...

mpc_oc_code_corl.tar.gz

Dec 16, 2022 - MPC/OC Code for: Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks

Gzip Archive - 227.9 MB -

Code for model predictive control (MPC) and optimal control (OC) to control musculoskeletal models in demoa. Please read ReadMe to find a description how to reproduce the numerical experiments of the paper.

README.md

Dec 16, 2022 - MPC/OC Code for: Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks

Markdown Text - 4.7 KB -

This file describes how to use and install the necessary code. Please read it to find out how to reproduce the experiments from the paper.

demoa-base: a biophysics simulator for muscle-driven motion

Nov 30, 2022

Schmitt, Syn, 2022, "demoa-base: a biophysics simulator for muscle-driven motion", https://doi.org/10.18419/darus-2550, DaRUS, V4

For more information, such as installation, requirements and user guide, please see the demoa-manual.pdf

demoa-base-2.2.tgz

Nov 30, 2022 - demoa-base: a biophysics simulator for muscle-driven motion

TAR Archive - 31.4 MB -

Version 2.2

demoa-manual-2.2.pdf

Nov 30, 2022 - demoa-base: a biophysics simulator for muscle-driven motion

Adobe PDF - 662.4 KB -

Version 2.2

gspine: A Human Spine Model Built Using Literature Data

Oct 6, 2022

Hammer, Maria; Riede, Julia Maria; Meszaros-Beller, Laura; Schmitt, Syn, 2022, "gspine: A Human Spine Model Built Using Literature Data", https://doi.org/10.18419/darus-2814, DaRUS, V3

A fully articulating human spine model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. The model is prepared to run muscle-driven simulation using a simple biological motor control model. The file...

arm26: A Human Arm Model

Oct 6, 2022

Wochner, Isabell; Schmitt, Syn, 2022, "arm26: A Human Arm Model", https://doi.org/10.18419/darus-2871, DaRUS, V2

An arm model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. This arm26 model consists of a musculoskeletal model of the arm with two degrees of freedom actuated by six muscles. The model is prepar...

arm26.tgz

Oct 6, 2022 - arm26: A Human Arm Model

Compressed Archive - 16.6 MB -

Contains all files for the model, including the technical description and a readme file how to use/run the model.

README.md

Oct 6, 2022 - arm26: A Human Arm Model

Markdown Text - 6.0 KB -

This file describes how to install and use the model and how to run a first simple simulation.

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