1 to 10 of 17 Results
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... |
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. |
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. |
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 |
Nov 30, 2022 -
demoa-base: a biophysics simulator for muscle-driven motion
TAR Archive - 31.4 MB -
MD5: a3065d7fece7e1b9ecae27487fc87c59
Version 2.2 |
Nov 30, 2022 -
demoa-base: a biophysics simulator for muscle-driven motion
Adobe PDF - 662.4 KB -
MD5: d347621c005465a6b58857f25d49b968
Version 2.2 |
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... |
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... |
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. |
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. |