rp1m - RP1M A LargeScale Motion Dataset for buatin Piano Playing with Bi RP1M A LargeScale Motion Dataset for Piano Playing with Bi Nov 18 2024 With RP1M it is now possible to train and test imitation learning approaches at scale We benchmark various behavior cloning approaches and find that using RP1M existing methods perform better in terms of generalization capabilities in multisong piano play This work contributes in various ways Aug 20 2024 The Robot Piano 1 Million RP1M dataset is introduced containing bimanual robot piano playing motion data of more than one million trajectories and finger placements are formulated as an optimal transport problem thus enabling automatic annotation of vast amounts of unlabeled songs It has been a longstanding research goal to endow robot hands with humanlevel dexterity Bimanual robot RP1M which includes 1M expert trajectories for robot piano playing covering 2k pieces of music A Piano Playing without Human Fingering Labels To mitigate the hard exploration problem posed by the sparse rewards RoboPianistRL adds dense reward signals by using human fingering labels Fingering informs the agent of the PDF RP1M A LargeScale Motion Dataset for Piano Playing Figure 1 Overview of RP1M Left RP1M is a largescale motion dataset for piano playing with bimanual dexterous robot hands The dataset includes 1M expert trajectories collected by 2k RL specialist agents Right To collect a diverse motion dataset of playing sheet music available on the RP1M A LargeScale Motion Dataset for Piano Playing with BiManual Dexterous Robot Hands Yi Zhao Le Chen Jan Schneider Quankai Gao Juho Kannala Bernhard Schölkopf Joni Pajarinen Dieter Büchler Homepage Yi Zhao Aug 20 2024 To this end we introduce the Robot Piano 1 Million RP1M dataset containing bimanual robot piano playing motion data of more than one million trajectories We formulate finger placements as an Aug 20 2024 It has been a longstanding research goal to endow robot hands with humanlevel dexterity Bimanual robot piano playing constitutes a task that combines challenges from dynamic tasks such as generating fast while precise motions with slower but contactrich manipulation problems Although reinforcement learning based approaches have shown promising results in singletask performance these rp1m has one repository available Follow their code on GitHub RP1M A LargeScale Motion Dataset for Piano Playing with BiManual Dexterous Robot Hands rp1mrp1mgithubio Aug 21 2024 To this end we introduce the Robot Piano 1 Million RP1M dataset containing bimanual robot piano playing motion data of more than one million trajectories We formulate finger placements as an optimal transport problem thus enabling automatic annotation of vast amounts of ikan cupang 2d togel unlabeled songs RP1M A LargeScale Motion Dataset for Piano Playing with RP1M A LargeScale Motion Dataset for Piano Playing with Nov 18 2024 The RP1M dataset represents a significant advancement in the availability of largescale highquality motion capture data for piano playing This resource has the potential to enable substantial progress in the development of dexterous robot manipulation capabilities as well as research into generalist piano playing skills and fewshot RP1M A LargeScale Motion Dataset for Piano Playing with Bi 240811048 RP1M A LargeScale Motion Dataset for Piano dblp RP1M A LargeScale Motion Dataset for Piano Playing RP1M A LargeScale Motion Dataset for Piano Playing with BiManual Dexterous Robot Hands It has been a longstanding research goal to endow robot hands with humanlevel dexterity Bimanual robot piano playing constitutes a task that combines challenges from dynamic tasks such as generating fast while precise motions with slower but contact RP1M A LargeScale Motion Dataset for Piano Playing with Bi RP1M A LargeScale Motion Dataset for Piano Playing with BiManual Dexterous Robot Hands Yi Zhao Le Chen Jan Schneider Quankai Gao Juho Kannala Bernhard Schölkopf Joni Pajarinen Dieter Büchler equal contribution Conference on Robot Learning CoRL 2024 RP1M A LargeScale Motion Dataset for Piano Playing with Bi Paper tables with annotated results for RP1M A LargeScale GitHub rp1mrp1mgithubio RP1M A LargeScale Motion Paper page RP1M A LargeScale Motion Dataset for Piano PDF RP1M A LargeScale Motion Dataset for Piano Playing rp1m GitHub RP1M A LargeScale Motion Dataset for Piano Playing with BiManual Dexterous Robot Hands Yi Zhao Le Chen Jan Schneider Quankai Gao Juho Kannala Bernhard Schölkopf Joni Pajarinen Dieter Büchler equal contribution Conference on Robot Learning CoRL 2024 Publications Yi Zhao Original paper httpsarxivorgabs240811048Title RP1M A LargeScale Motion Dataset for Piano Playing with BiManual Dexterous Robot HandsAuthors Yi Z The expert trajectories in RP1M are collected via training RL agents for each of the 2k songs and roll out each policy 500 times with different random seeds Our method does not require any human demonstrations or fingering annotations Given the MIDI file only fingering is discovered automatically while playing the piano Bibliographic details on RP1M A LargeScale Motion Dataset for Piano Playing with BiManual Dexterous Robot Hands RP1M A LargeScale Motion Dataset for Piano Playing with Dec 31 2023 To this end we introduce the Robot Piano 1 Million RP1M dataset containing bimanual robot piano playing motion data of more than one million trajectories We formulate finger placements as an optimal transport problem thus enabling automatic annotation of vast alkycoat amounts of unlabeled songs
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