EXC 2075 Project Networks

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Publication Year: 2022

1 to 10 of 606 Results

MPC/OC Code for: Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks Dec 16, 2022 - demoa 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 - demoa 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
Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network Nov 2, 2022 - PN 5-6 Praditia, Timothy; Karlbauer, Matthias; Otte, Sebastian; Oladyshkin, Sergey; Butz, Martin V.; Nowak, Wolfgang, 2022, "Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network", https://doi.org/10.18419/darus-3249, DaRUS, V1 This dataset contains diffusion-sorption data, generated with numerical simulation based on three different sorption isotherms, namely the linear, Freundlich, and Langmuir isotherms. This dataset is used to train, validate, and test all the deep learning models that are used in t...
freundlich.rar Nov 2, 2022 - Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network RAR Archive - 4.9 MB - MD5: 2bbf50daf95d7202805cae40478ab4f6 Dissolved and total contaminant concentration data generated with the Freundlich sorption isotherm.
langmuir.rar Nov 2, 2022 - Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network RAR Archive - 4.6 MB - MD5: 13fc5f6002a31acb194132b43364068d Dissolved and total contaminant concentration data generated with the Langmuir sorption isotherm.
linear.rar Nov 2, 2022 - Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network RAR Archive - 4.9 MB - MD5: d3d4f64769bbcc9f269ae8f7da229e86 Dissolved and total contaminant concentration data generated with the linear sorption isotherm.

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

Dec 16, 2022 - demoa

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 - demoa

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

Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network

Nov 2, 2022 - PN 5-6

Praditia, Timothy; Karlbauer, Matthias; Otte, Sebastian; Oladyshkin, Sergey; Butz, Martin V.; Nowak, Wolfgang, 2022, "Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network", https://doi.org/10.18419/darus-3249, DaRUS, V1

This dataset contains diffusion-sorption data, generated with numerical simulation based on three different sorption isotherms, namely the linear, Freundlich, and Langmuir isotherms. This dataset is used to train, validate, and test all the deep learning models that are used in t...

freundlich.rar

Nov 2, 2022 - Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network

RAR Archive - 4.9 MB -

Dissolved and total contaminant concentration data generated with the Freundlich sorption isotherm.

langmuir.rar

Nov 2, 2022 - Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network

RAR Archive - 4.6 MB -

Dissolved and total contaminant concentration data generated with the Langmuir sorption isotherm.

linear.rar

Nov 2, 2022 - Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network

RAR Archive - 4.9 MB -

Dissolved and total contaminant concentration data generated with the linear sorption isotherm.

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