{"url":"/dataset/motion-tracking-of-bionic-tendon-driven-robot","name":"Motion Tracking of Bionic Tendon-Driven Robot","full_name":null,"description_markdown":"This is a dataset of robot motions based on physics simulations.\r\n\r\nProvide:\r\n\r\n* a high-level explanation of the dataset characteristics\r\n* explain motivations and summary of its content\r\n* potential use cases of the dataset\r\n\r\nNote:\r\n\r\n* Training Input: $\\alpha$ (yaw angle) and $\\beta$ (pitch angle)\r\n* Traning output: $L_1$, $L_2$, and $L_3$ (length variations of each tendon)","description_withheld":null,"homepage":"https://github.com/poyuhs/model-free-robotics/tree/main/data","introduced_date":"2024-07-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/comparative-evaluation-of-learning-models-for","title":"Comparative Evaluation of Learning Models for Bionic Robots: Non-Linear Transfer Function Identifications","first_author":"Po-Yu Hsieh","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"},{"name":"Tracking","url":"/datasets/modality/tracking"}],"tasks":[{"name":"3D Object Detection","url":"/task/3d-object-detection","datasets_with_task":"/datasets/task/3d-object-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Motion Tracking of Bionic Tendon-Driven Robot"],"data_loaders":[{"repo":"https://github.com/poyuhs/model-free-robotics","url":"https://github.com/poyuhs/model-free-robotics","frameworks":[]}],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}