{"id":191,"date":"2024-10-01T18:55:08","date_gmt":"2024-10-01T18:55:08","guid":{"rendered":"https:\/\/babel.isa.uma.es\/research\/projects\/tyrell\/?page_id=191"},"modified":"2025-09-02T06:54:49","modified_gmt":"2025-09-02T06:54:49","slug":"software","status":"publish","type":"page","link":"https:\/\/babel.isa.uma.es\/research\/projects\/tyrell\/software\/","title":{"rendered":"software &amp; data"},"content":{"rendered":"\n<p>The <a href=\"https:\/\/github.com\/uncore-team\">software<\/a> of the project is hosted within the <em><strong>Uncore Team<\/strong><\/em> repositories in <a href=\"https:\/\/github.com\">Github<\/a>.<\/p>\n\n\n\n<p>We have produced these data:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>[02\/09\/25]<\/strong> <code>panda_myoarm<\/code> : a Python simulation framework for human-robot interaction experiments involving the Franka Emika Panda manipulator and a modeled human arm.<\/li>\n\n\n\n<li><strong>[31\/07\/25]<\/strong> <code>marginal_rtt_modeling<\/code>: a Matlab library for analysing and assessing different marginal probabilistic models for the round-trip times measured in networked robot systems. Available in <a href=\"https:\/\/github.com\/uncore-team\/marginal_rtt_modeling\">GitHub<\/a>.<\/li>\n\n\n\n<li><strong>[04\/03\/25]<\/strong> Dataset with a number of experiments carried out during the last decade gathering <strong>roundtrip times<\/strong> when requesting sensory data remotely from networked robots. Hosted in: <a href=\"https:\/\/zenodo.org\/records\/14967644\">Zenodo<\/a> (DOI: <a href=\"https:\/\/doi.org\/10.5281\/zenodo.14967644\">https:\/\/doi.org\/10.5281\/zenodo.14967644<\/a>); <a href=\"https:\/\/riuma.uma.e\">RIUMA<\/a> (handle: <a href=\"https:\/\/hdl.handle.net\/10630\/38237\">https:\/\/hdl.handle.net\/10630\/38237<\/a>, DOI: <a href=\"https:\/\/dx.doi.org\/10.24310\/riuma.38237\">https:\/\/dx.doi.org\/10.24310\/riuma.38237<\/a>).<\/li>\n\n\n\n<li><strong>[07\/02\/25]<\/strong> <kbd><code>rl_spin_decoupler<\/code><\/kbd>: a Python library for decoupling the spin loops of both the agent and the learner in Reinforcement Learning applications. Available in <a href=\"https:\/\/github.com\/uncore-team\/rl_spin_decoupler\">GitHub<\/a>.<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The software of the project is hosted within the Uncore Team repositories in Github. We have produced these data:<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-191","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/babel.isa.uma.es\/research\/projects\/tyrell\/wp-json\/wp\/v2\/pages\/191"}],"collection":[{"href":"https:\/\/babel.isa.uma.es\/research\/projects\/tyrell\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/babel.isa.uma.es\/research\/projects\/tyrell\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/babel.isa.uma.es\/research\/projects\/tyrell\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/babel.isa.uma.es\/research\/projects\/tyrell\/wp-json\/wp\/v2\/comments?post=191"}],"version-history":[{"count":14,"href":"https:\/\/babel.isa.uma.es\/research\/projects\/tyrell\/wp-json\/wp\/v2\/pages\/191\/revisions"}],"predecessor-version":[{"id":312,"href":"https:\/\/babel.isa.uma.es\/research\/projects\/tyrell\/wp-json\/wp\/v2\/pages\/191\/revisions\/312"}],"wp:attachment":[{"href":"https:\/\/babel.isa.uma.es\/research\/projects\/tyrell\/wp-json\/wp\/v2\/media?parent=191"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}