{"id":200983,"date":"2024-12-07T20:27:08","date_gmt":"2024-12-08T02:27:08","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2024\/12\/a-single-algorithm-can-help-robots-make-good-decisions-in-real-time"},"modified":"2024-12-07T20:27:08","modified_gmt":"2024-12-08T02:27:08","slug":"a-single-algorithm-can-help-robots-make-good-decisions-in-real-time","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2024\/12\/a-single-algorithm-can-help-robots-make-good-decisions-in-real-time","title":{"rendered":"A single algorithm can help robots make good decisions in real time"},"content":{"rendered":"<p><\/p>\n<p><iframe style=\"display: block; margin: 0 auto; width: 100%; aspect-ratio: 4\/3; object-fit: contain;\" src=\"https:\/\/www.youtube.com\/embed\/LMw8euPskc4?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope;\n   picture-in-picture\" allowfullscreen><\/iframe><\/p>\n<p>In 2018, Google DeepMind\u2019s AlphaZero program taught itself the games of chess, shogi, and Go using machine learning and a special algorithm to determine the best moves to win a game within a defined grid. Now, a team of Caltech researchers has developed an analogous algorithm for autonomous robots\u2014a planning and decision-making control system that helps freely moving robots determine the best movements to make as they navigate the real world.<\/p>\n<p>\u201cOur algorithm actually strategizes and then explores all the possible and important motions and chooses the best one through dynamic simulation, like playing many simulated games involving moving robots,\u201d says Soon-Jo Chung, Caltech\u2019s Bren Professor of Control and Dynamical Systems and a senior research scientist at JPL, which Caltech manages for NASA. \u201cThe breakthrough innovation here is that we have derived a very efficient way of finding that optimal safe motion that typical optimization-based methods would never find.\u201d<\/p>\n<p>The team describes the technique, which they call Spectral Expansion Tree Search (SETS), in the December <a href=\"https:\/\/www.science.org\/doi\/10.1126\/scirobotics.ado1010\" target=\"_blank\">cover article<\/a> of the journal Science Robotics.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In 2018, Google DeepMind\u2019s AlphaZero program taught itself the games of chess, shogi, and Go using machine learning and a special algorithm to determine the best moves to win a game within a defined grid. Now, a team of Caltech researchers has developed an analogous algorithm for autonomous robots\u2014a planning and decision-making control system that [\u2026]<\/p>\n","protected":false},"author":359,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1509,41,6],"tags":[],"class_list":["post-200983","post","type-post","status-publish","format-standard","hentry","category-entertainment","category-information-science","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/200983","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/359"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=200983"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/200983\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=200983"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=200983"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=200983"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}