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2¿ù 25ÀÏ(¼ö)
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10:00~11:30
Á¦Á¶ ÇÇÁöÄà AI & SDF
À念Àç ±³¼ö (KAIST)
11:30~13:00
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13:00~14:30
Overview of VLAs in Physical AI
ÀÌ°Ç¸í ±³¼ö (ÃæºÏ´ëÇб³)
14:30~14:45
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14:45~16:15
Towards Capturing Everyday Movements to Scale Up and Enrich Human Motion Data
ÁÖÇѺ° ±³¼ö (¼¿ï´ëÇб³)
16:15~16:30
16:30~18:00
Beyond Imitation: Self-Improving Vision–Language–Action Models
±èÀ¯¼º ±³¼ö (¼º±Õ°ü´ëÇб³)
2¿ù 26ÀÏ(¸ñ)
Adapting Actions to Changing Environments
ÃÖÁ¾Çö ±³¼ö (¼¿ï´ëÇб³)
Robots as Systems, Not Just AI
À¯Çö¿ì ±³¼ö (¼º±Õ°ü´ëÇб³)
Generative Modeling and Reinforcement Learning: Energy, Reward, and Value
À±»ó¿õ ±³¼ö (UNIST)
Probabilistic Graphcial Model: Variational Inference and Structured Representation Learning
ÁÖ¿ø¿µ ±³¼ö(ÀÌÈ¿©ÀÚ´ëÇб³)
2¿ù 27ÀÏ(±Ý)
From Chatbots to Companions: Building Smarter, More Reliable AI Systems
¸ñÁö¼ö ±³¼ö (DGIST)
Towards understanding hour-long video
±èÁØ¿µ ±³¼ö (Áß¾Ó´ëÇб³)
Expanding the boundaries of Dialogue System
±èÇüÈÆ ±³¼ö (POSTECH)