171 to 180 of 239 Results
Jun 21, 2023 -
Neck Reflex Behavior in Driving Simulator Experiments - Academic-Scale Simulator at ITM
Fixed Field Text Data - 175.5 KB -
MD5: cf7fa2de19aeeabdedb56a938b0a6e94
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Jun 21, 2023 -
Neck Reflex Behavior in Driving Simulator Experiments - Academic-Scale Simulator at ITM
Objective-C Source Code - 3.3 KB -
MD5: bf4928b059019e189158ea3fa79ea7cb
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Jun 21, 2023 -
Neck Reflex Behavior in Driving Simulator Experiments - Academic-Scale Simulator at ITM
Plain Text - 2.6 KB -
MD5: e9fd84168fe3d810182ef369e991c06d
README |
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 and Daniel F.B. Haeufle. Always cite the paper together with this datase... |
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. |
Oct 28, 2022 - FAIR Fluids
Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Self-diffusion coefficients of simulated aqueous glycerol mixtures", https://doi.org/10.18419/DARUS-3115, DaRUS, V1
In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experiment and simulation was demonstrated for two binary mixtures, methanol... |
XML - 46.9 KB -
MD5: 36b6a6a26016a3252612e095702f0f4d
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Oct 28, 2022 - FAIR Fluids
Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Densities of simulated aqueous methanol mixtures", https://doi.org/10.18419/DARUS-3112, DaRUS, V1
In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experiment and simulation was demonstrated for two binary mixtures, methanol... |
Oct 28, 2022 -
Densities of simulated aqueous methanol mixtures
XML - 25.4 KB -
MD5: e05ca93c7efe519df9e02cb2a752dff2
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