{"id":215070,"date":"2025-05-30T10:10:30","date_gmt":"2025-05-30T15:10:30","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2025\/05\/four-legged-robot-plays-badminton-with-humans"},"modified":"2025-05-30T10:10:30","modified_gmt":"2025-05-30T15:10:30","slug":"four-legged-robot-plays-badminton-with-humans","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2025\/05\/four-legged-robot-plays-badminton-with-humans","title":{"rendered":"Four-legged robot plays badminton with humans"},"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\/2Dk8DSRlhlI?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope;\n   picture-in-picture\" allowfullscreen><\/iframe><\/p>\n<p>A small team of roboticists at Robotic Systems Lab, ETH Zurich, in Switzerland, has designed, built and tested a four-legged robot capable of playing badminton with human players.<\/p>\n<p>In their study, <a href=\"https:\/\/www.science.org\/doi\/10.1126\/scirobotics.adu3922\" target=\"_blank\">published<\/a> in the journal <i>Science Robotics<\/i>, the group used a reinforcement learning-based controller to give the robot the ability to track, predict and respond to the movement of a shuttlecock in play, demonstrating the feasibility of using multi-legged robots in dynamic sports scenarios.<\/p>\n<p>Badminton is a sport similar to tennis, the main difference being the use of a shuttlecock rather than a <a href=\"https:\/\/techxplore.com\/tags\/tennis+ball\/\" rel=\"tag\" class=\"\">tennis ball<\/a>. The goal is the same: to hit the shuttlecock over a net placed midcourt to an awaiting opponent.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A small team of roboticists at Robotic Systems Lab, ETH Zurich, in Switzerland, has designed, built and tested a four-legged robot capable of playing badminton with human players. In their study, published in the journal Science Robotics, the group used a reinforcement learning-based controller to give the robot the ability to track, predict and respond [\u2026]<\/p>\n","protected":false},"author":367,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-215070","post","type-post","status-publish","format-standard","hentry","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/215070","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\/367"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=215070"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/215070\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=215070"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=215070"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=215070"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}