rp1m - Our RP1M dataset is the first sabun69 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 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 PDF RP1M A LargeScale Motion Dataset for Piano Playing Popular repositories rp1mgithubio Public RP1M A LargeScale Motion Dataset for Piano Playing with BiManual Dexterous Robot Hands JavaScript Something went wrong please refresh the page to try again If the problem persists check the GitHub status page or contact support rp1m has one repository available Follow their code on GitHub RP1M A LargeScale Motion Dataset for Piano Playing with Bi 240811048 RP1M A LargeScale Motion Dataset for Piano Publications Yi Zhao RP1M A LargeScale Motion Dataset for Piano Playing with Bi 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 BiManual Dexterous Robot Hands Le Chen Yi Zhao Jan Schneider Quankai Gao Juho Kannala Bernhard Schölkopf Joni Pajarinen Dieter Büchler Paper Code Project Page 2nd Workshop on Dexterous Manipulation Design Perception and Control RSS 2024 Papers with Code RP1M A LargeScale Motion Dataset for RP1M A LargeScale Motion Dataset for Piano Playing with Bi RP1M A LargeScale Motion Dataset for Piano Playing with rp1m GitHub RP1M A LargeScale Motion Dataset for Piano Playing with Bi PDF RP1M A LargeScale Motion Dataset for Piano Playing Original paper httpsarxivorgabs240811048Title RP1M A LargeScale Motion Dataset for Piano Playing with BiManual Dexterous Robot HandsAuthors Yi Z 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 Quankai Gao 郜泉凯 GitHub rp1mrp1mgithubio RP1M A LargeScale Motion dblp RP1M A LargeScale Motion Dataset for Piano Playing RP1M A LargeScale Motion Dataset for Piano Playing with Bi 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 penanggulangan kebakaran hutan problem posed by the sparse rewards RoboPianistRL adds dense reward signals by using human fingering labels Fingering informs the agent of the 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 Paper tables with annotated results for RP1M A LargeScale 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 RP1M A LargeScale Motion Dataset for Piano Playing with 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 Homepage Yi Zhao 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 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 Paper Website Using RP1M we benchmark various approaches to robot piano playing whereby existing imitation learning approaches reach promising results in motion synthesis on novel music pieces due to scaling with RP1M 2 Related Work Piano Playing with Robots Piano playing with robot hands has been investigated for decades It 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 BiManual Dexterous Robot Hands rp1mrp1mgithubio Bibliographic details on RP1M A LargeScale Motion Dataset for Piano Playing with BiManual Dexterous Robot Hands 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 angka badut togel music available on the
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