rp1m - RP1M A LargeScale Motion Dataset for acara maulid nabi Piano Playing with BiManual Figure 1 Overview of RP1M Left RP1M is a largescale motion dataset for piano playing with bimanual dexterous robot hands The dataset includes similarto sim 1M expert trajectories collected by similarto sim 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 Our RP1M dataset is the first largescale dataset of dynamic bimanual manipulation with dexterous robot hands It includes bimanual robot piano playing motion data of 1M expert trajectories covering 2k musical pieces The expert trajectories in RP1M are collected via training RL agents for each of the 2k songs and roll out each policy 500 RP1M dataset is the first largescale dataset of dynamic bimanual manipulation with dexterous robot hands It includes bimanual robot piano playing motion data of 1M expert trajectories covering 2k musical pieces Project website httpsrp1mgithubio PDF RP1M A LargeScale Motion Dataset for Piano Playing with Bi RP1M A LargeScale Motion Dataset for Piano Playing with Bimanual 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 August 2024 PDF Cite Type Conference paper Publication 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 poker 888 asia the agent of the RP1M A LargeScale Motion Dataset for Piano Playing with BiManual 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 A LargeScale Motion Dataset for Piano Playing with BiManual Dexterous Robot Hands rp1mrp1mgithubio RP1M A LargeScale Motion Dataset for Piano Playing with Bimanual RP1M A LargeScale Motion Dataset for Piano Playing with BiManual 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 GitHub rp1mrp1mgithubio RP1M A LargeScale Motion Dataset for 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 unlabeled songs Benchmarking existing imitation learning 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 PDF RP1M A LargeScale Motion Dataset for otbola Piano Playing with Bi
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