{"id":4775,"date":"2023-07-14T14:19:38","date_gmt":"2023-07-14T06:19:38","guid":{"rendered":"https:\/\/inventec2.mjitec.tw\/?page_id=4775"},"modified":"2024-04-23T09:23:47","modified_gmt":"2024-04-23T01:23:47","slug":"expanding-versatility-of-agile-locomotion-through-policy-transitions-using-latent-state-representation","status":"publish","type":"page","link":"https:\/\/inventec2.mjitec.tw\/en\/ai\/expanding-versatility-of-agile-locomotion-through-policy-transitions-using-latent-state-representation\/","title":{"rendered":"Expanding Versatility of Agile Locomotion"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row full_width=&#8221;stretch_row&#8221;][vc_column]<div id=\"rs-space-69e10d03a684b\" class=\"rs-space\">\r\n                <div class=\"rs-space-data\" data-conf=\"{&quot;uqid&quot;:&quot;69e10d03a684b&quot;,&quot;space_lg&quot;:&quot;150&quot;,&quot;space_md&quot;:&quot;80&quot;,&quot;space_sm&quot;:&quot;60&quot;,&quot;space_xs&quot;:&quot;60&quot;}\"><\/div>\t\t\t\r\n\t\t\t<\/div>[vc_row_inner el_class=&#8221;md-full-col&#8221;][vc_column_inner el_class=&#8221;m_p&#8221; width=&#8221;1\/2&#8243;]\n        <div class=\"rs-heading    \">\n        \t<div class=\"title-inner\"  data-border-color=\"\">\n        \t\t\n\t            \n\t            <h2 class=\"title \" style=\"color: #333333\">Expanding Versatility of Agile Locomotion through Policy Transitions Using Latent State Representation <\/h2>\n\t        <\/div><\/div>[vc_column_text css=&#8221;.vc_custom_1689315005012{margin-bottom: 20px !important;}&#8221;]<\/p>\n<div>\n<p>International Conference on Robotics and Automation 2023 (ICRA 2023)<\/p>\n<\/div>\n<p>[\/vc_column_text][vc_column_text css=&#8221;.vc_custom_1689316053119{margin-bottom: 5px !important;}&#8221;]<\/p>\n<div>\n<h6>Authors<\/h6>\n<\/div>\n<p>[\/vc_column_text][vc_column_text css=&#8221;.vc_custom_1689315023093{margin-bottom: 20px !important;}&#8221;]<\/p>\n<div>\n<p>Guilherme Christmann*, Ying-Sheng Luo*, Jonathan Hans Soeseno*, Wei-Chao Chen<\/p>\n<\/div>\n<p>[\/vc_column_text][vc_column_text css=&#8221;.vc_custom_1689316074150{margin-bottom: 5px !important;}&#8221;]<\/p>\n<div>\n<h6>Published<\/h6>\n<\/div>\n<p>[\/vc_column_text][vc_column_text]<\/p>\n<div>\n<p>2023\/7\/4<\/p>\n<\/div>\n<p>[\/vc_column_text][\/vc_column_inner][vc_column_inner el_class=&#8221;m_p&#8221; width=&#8221;1\/2&#8243;][vc_single_image image=&#8221;5023&#8243; img_size=&#8221;full&#8221;][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row][vc_column]<div id=\"rs-space-69e10d03a6947\" class=\"rs-space\">\r\n                <div class=\"rs-space-data\" data-conf=\"{&quot;uqid&quot;:&quot;69e10d03a6947&quot;,&quot;space_lg&quot;:&quot;150&quot;,&quot;space_md&quot;:&quot;80&quot;,&quot;space_sm&quot;:&quot;60&quot;,&quot;space_xs&quot;:&quot;60&quot;}\"><\/div>\t\t\t\r\n\t\t\t<\/div>[\/vc_column][\/vc_row][vc_row full_width=&#8221;stretch_row&#8221;][vc_column][vc_row_inner content_placement=&#8221;top&#8221; css=&#8221;.vc_custom_1657794580528{margin-bottom: 20px !important;}&#8221;][vc_column_inner el_class=&#8221;m_p paragraph_title&#8221; width=&#8221;1\/3&#8243;]\n        <div class=\"rs-heading   vc_custom_1689316093618  \">\n        \t<div class=\"title-inner\"  data-border-color=\"\">\n        \t\t\n\t            \n\t            <h2 class=\"title \" style=\"color: #333333\">Abstract <\/h2>\n\t        <\/div><\/div>[\/vc_column_inner][vc_column_inner el_class=&#8221;m_p&#8221; width=&#8221;2\/3&#8243;][vc_column_text]This paper proposes the transition-net, a robust transition strategy that expands the versatility of robot locomotion in the real-world setting. To this end, we start with distributing the complexity of different gaits into dedicated locomotion policies applicable to real-world robots. Next, we expand the versatility of the robot by unifying the policies with robust transitions into a single coherent meta-controller by examining the latent state representations. Our approach enables the robot to iteratively expand its skill repertoire and robustly transition between any policy pair in a library. In our framework, adding new skills does not introduce any process that alters the previously learned skills. Moreover, training of a locomotion policy takes less than an hour with a single consumer GPU. Our approach is effective in the real-world and achieves a 19% higher average success rate for the most challenging transition pairs in our experiments compared to existing approaches.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner content_placement=&#8221;middle&#8221; el_class=&#8221;md-full-col video_wrap&#8221;][vc_column_inner el_class=&#8221;m_p&#8221;][vc_raw_html]JTNDaWZyYW1lJTIwd2lkdGglM0QlMjIxMjQwJTIyJTIwaGVpZ2h0JTNEJTIyODAwJTIyJTIwc3JjJTNEJTIyaHR0cHMlM0ElMkYlMkZ3d3cueW91dHViZS5jb20lMkZlbWJlZCUyRmJFU3pYMjBBa3BnJTIyJTIwdGl0bGUlM0QlMjJZb3VUdWJlJTIwdmlkZW8lMjBwbGF5ZXIlMjIlMjBmcmFtZWJvcmRlciUzRCUyMjAlMjIlMjBhbGxvdyUzRCUyMmFjY2VsZXJvbWV0ZXIlM0IlMjBhdXRvcGxheSUzQiUyMGNsaXBib2FyZC13cml0ZSUzQiUyMGVuY3J5cHRlZC1tZWRpYSUzQiUyMGd5cm9zY29wZSUzQiUyMHBpY3R1cmUtaW4tcGljdHVyZSUyMiUyMGFsbG93ZnVsbHNjcmVlbiUzRSUzQyUyRmlmcmFtZSUzRQ==[\/vc_raw_html][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row][vc_column]<div id=\"rs-space-69e10d03a69f2\" class=\"rs-space\">\r\n                <div class=\"rs-space-data\" data-conf=\"{&quot;uqid&quot;:&quot;69e10d03a69f2&quot;,&quot;space_lg&quot;:&quot;80&quot;,&quot;space_md&quot;:&quot;80&quot;,&quot;space_sm&quot;:&quot;60&quot;,&quot;space_xs&quot;:&quot;60&quot;}\"><\/div>\t\t\t\r\n\t\t\t<\/div>[\/vc_column][\/vc_row][vc_row][vc_column width=&#8221;1\/3&#8243; el_class=&#8221;m_p keyword_title&#8221;][vc_column_text]<\/p>\n<h2>Keywords<\/h2>\n<p>[\/vc_column_text][\/vc_column][vc_column width=&#8221;2\/3&#8243; el_class=&#8221;m_p keyword&#8221;][vc_row_inner content_placement=&#8221;middle&#8221;][vc_column_inner width=&#8221;1\/3&#8243;][vc_raw_html]JTNDdWwlMjBjbGFzcyUzRCUyMnN0eWxlbGlzdGluZyUyMiUzRSUwQSUyMCUwOSUzQ2xpJTIwc3R5bGUlM0QlMjJsaW5lLWhlaWdodCUzQTM0cHglM0IlMjIlM0VSZWluZm9yY2VtZW50JTIwTGVhcm5pbmclM0MlMkZsaSUzRSUwQSUyMCUwOSUzQ2xpJTIwc3R5bGUlM0QlMjJsaW5lLWhlaWdodCUzQTM0cHglM0IlMjIlM0VSb2JvdGljcyUzQyUyRmxpJTNFJTBBJTNDJTJGdWwlM0U=[\/vc_raw_html][\/vc_column_inner][vc_column_inner width=&#8221;1\/3&#8243;][vc_raw_html]JTNDdWwlMjBjbGFzcyUzRCUyMnN0eWxlbGlzdGluZyUyMiUzRSUwQSUyMCUwOSUzQ2xpJTIwc3R5bGUlM0QlMjJsaW5lLWhlaWdodCUzQTM0cHglM0IlMjIlM0VMZWdnZWQlMjBSb2JvdHMlM0MlMkZsaSUzRSUwQSUzQyUyRnVsJTNF[\/vc_raw_html][\/vc_column_inner][vc_column_inner width=&#8221;1\/3&#8243;][vc_raw_html]JTNDdWwlMjBjbGFzcyUzRCUyMnN0eWxlbGlzdGluZyUyMiUzRSUwQSUyMCUwOSUzQ2xpJTIwc3R5bGUlM0QlMjJsaW5lLWhlaWdodCUzQTM0cHglM0IlMjIlM0VDb250cm9sJTNDJTJGbGklM0UlMEElM0MlMkZ1bCUzRQ==[\/vc_raw_html][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row][vc_column]<div id=\"rs-space-69e10d03a6a32\" class=\"rs-space\">\r\n                <div class=\"rs-space-data\" data-conf=\"{&quot;uqid&quot;:&quot;69e10d03a6a32&quot;,&quot;space_lg&quot;:&quot;80&quot;,&quot;space_md&quot;:&quot;80&quot;,&quot;space_sm&quot;:&quot;60&quot;,&quot;space_xs&quot;:&quot;60&quot;}\"><\/div>\t\t\t\r\n\t\t\t<\/div>[\/vc_column][\/vc_row][vc_row full_width=&#8221;stretch_row&#8221; el_class=&#8221;bg&#8221; css=&#8221;.vc_custom_1657248474326{padding-top: 50px !important;padding-bottom: 50px !important;}&#8221;][vc_column][vc_column_text css=&#8221;.vc_custom_1689316125845{margin-bottom: 20px !important;}&#8221;]<\/p>\n<h3 style=\"text-align: center; color: #fff;\">Download<\/h3>\n<p>[\/vc_column_text][vc_row_inner content_placement=&#8221;middle&#8221;][vc_column_inner el_class=&#8221;download_btn_wrap&#8221;][vc_btn title=&#8221;PDF&#8221; style=&#8221;flat&#8221; color=&#8221;white&#8221; align=&#8221;center&#8221; link=&#8221;url:https%3A%2F%2Farxiv.org%2Fabs%2F2306.08224|target:_blank&#8221; el_class=&#8221;download_btn&#8221; css=&#8221;.vc_custom_1689329776806{padding-right: 20px !important;padding-left: 20px !important;}&#8221;][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row full_width=&#8221;stretch_row&#8221;][vc_column][vc_row_inner el_class=&#8221;md-full-col&#8221;][vc_column_inner el_class=&#8221;m_p&#8221; width=&#8221;1\/2&#8243;][vc_column_text css=&#8221;.vc_custom_1689315005012{margin-bottom: 20px !important;}&#8221;] International Conference on Robotics and Automation 2023 (ICRA 2023) [\/vc_column_text][vc_column_text css=&#8221;.vc_custom_1689316053119{margin-bottom: 5px !important;}&#8221;] Authors [\/vc_column_text][vc_column_text css=&#8221;.vc_custom_1689315023093{margin-bottom: 20px !important;}&#8221;] Guilherme Christmann*, Ying-Sheng Luo*, Jonathan Hans Soeseno*, Wei-Chao Chen [\/vc_column_text][vc_column_text css=&#8221;.vc_custom_1689316074150{margin-bottom: 5px !important;}&#8221;] Published [\/vc_column_text][vc_column_text] 2023\/7\/4 [\/vc_column_text][\/vc_column_inner][vc_column_inner el_class=&#8221;m_p&#8221; width=&#8221;1\/2&#8243;][vc_single_image image=&#8221;5023&#8243; img_size=&#8221;full&#8221;][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row][vc_column][\/vc_column][\/vc_row][vc_row full_width=&#8221;stretch_row&#8221;][vc_column][vc_row_inner content_placement=&#8221;top&#8221; 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