{"id":197419,"date":"2025-06-23T10:58:30","date_gmt":"2025-06-23T01:58:30","guid":{"rendered":"http:\/\/ee.presscat.kr\/?post_type=research-achieve&p=197419"},"modified":"2026-04-13T03:44:07","modified_gmt":"2026-04-12T18:44:07","slug":"ee-prof-dong-eui-changs-team-wins-third-prize-at-hugging-face-lerobot-worldwide-hackathon-for-developing-vla-based-collaborative-robot-object-transfer-system","status":"publish","type":"research-achieve","link":"http:\/\/ee.presscat.kr\/en\/research-achieve\/ee-prof-dong-eui-changs-team-wins-third-prize-at-hugging-face-lerobot-worldwide-hackathon-for-developing-vla-based-collaborative-robot-object-transfer-system\/","title":{"rendered":"EE Prof. Dong Eui Chang’s Team Wins Third Prize at Hugging Face LeRobot Worldwide Hackathon for Developing VLA-Based Collaborative Robot Object Transfer System"},"content":{"rendered":"
\"\"
<(From left) Master’s Student Kyeongdon Lee, Hojun Kwon, Seokjoon Kwon, Professor Dong Eui Chang, PhD Student Hee-deok Jang, Master’s Student Guining Pertin><\/span><\/figcaption><\/figure>\n

 <\/p>\n

‘Team ACE’ from Professor Dong Eui Cang’s lab in our department achieved outstanding results\u00a0by winning a\u00a0Third Prize at the\u00a0‘<\/strong>Hugging Face LeRobot Worldwide Hackathon’<\/strong>, held over three days from June 14 to 16.<\/span><\/p>\n

 <\/p>\n

Composed of Seokjoon Kwon (Master\u2019s Program, Team Leader), Hee-Deok Jang (Ph.D. Program), Hojun Kwon (Master\u2019s Program), Guining Pertin (Master\u2019s Program), and Kyeongdon Lee (Master\u2019s Program) from Professor Dong Eui Chang\u2019s lab, ‘Team ACE’ developed a VLA-based collaborative robot object transfer system and placed 20th out of more than 600 teams worldwide, earning a Third Prize (awarded to teams ranked 6th-24th).\u00a0In addition, the team also received the KIRIA President’s Award (awarded by the Korea Institute for Robot Industry Advancement) from the local organizing committee in Daegu, South Korea.<\/span><\/p>\n

 <\/p>\n

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<The VLA-Based Collaborative Robot Object Transfer System Developed by ‘Team ACE’><\/span><\/figcaption><\/figure>\n

 <\/p>\n

‘Hugging Face’\u00a0is a U.S.-based AI startup known as one of the world\u2019s largest platforms for artificial intelligence, offering widely used machine learning libraries such as Transformers and Datasets. More recently, the company has also been actively providing AI resources for robotics applications.<\/span><\/p>\n

 <\/p>\n

Hugging Face regularly hosts global hackathons that bring together researchers and students from around the world to compete and collaborate on innovative AI-driven solutions.<\/span><\/p>\n

 <\/p>\n

This year\u2019s ‘LeRobot Worldwide Hackathon’\u00a0gathered over 2,500 AI and robotics experts from 45 countries. Participants were challenged to freely propose and implement solutions to real-world problems in industry and everyday life by applying technologies such as VLA (Vision Language Action) models and reinforcement learning \u00a0to robotic arms.<\/span><\/p>\n

 <\/p>\n

Through their achievement in the competition, ‘Team ACE’\u00a0was recognized for their technical excellence and creativity by both the global robotics community and experts in South Korea.<\/span><\/p>\n

 <\/p>\n

The team\u2019s performance at the competition drew considerable attention from local media and was actively reported in regional news outlets.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

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