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Çмú´ëȸ

Korea Robotics Society

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<2026³âµµ Á¦1ȸ ÇÇÁöÄà AI ¿¬±¸È¸ ¿öÅ©¼¥ ¾È³»>
 
- ¸ñÇ¥: Physical AI ¹× Embodied Intelligence °ü·Ã ÃֽŠ¿¬±¸ ¼º°ú °øÀ¯¿Í Çмú ±³·ù
- ÀϽÃ: 2026³â 2¿ù 9ÀÏ (¿ù) 10:00~19:00
- Àå¼Ò: °í·Á´ëÇб³ À̰úÄ·ÆÛ½º Çϳª½ºÄù¾î °­´ç 

- ÀÏÁ¤(»óȲ¿¡ µû¶ó º¯µ¿ µÉ ¼ö ÀÖÀ½): 
[¿ÀÀü ¼¼¼Ç] Toward Physical Intelligence
10:00~10:30  ¼­½ÂÈ£ ±³¼ö´Ô – Human-centric Ubiquitous Intelligence for Smart Livings
10:30~11:00   È«½Â¿ì ±³¼ö´Ô – Agile and Versatile Legged Locomotion Control
11:00~11:30  ¹èÁعü ±³¼ö´Ô – Wearable Interface Systems for Physical AI
11:30~12:00  ¹®°æ½Ä ±³¼ö´Ô – Human Understanding for Physical AI
12:00~12:30  À±»óµÎ ¼ÒÀå´Ô – ¹ÌÁ¤

12:30~13:45  Á¡½É ½Ä»ç

[¿ÀÈÄ ¼¼¼Ç 1] Structured Reasoning for Embodied Agents
13:45–13:58 ¹ÚÁ¤Àº – Hierarchical Vision Language Action Model Using Success and Failure Demonstrations
13:58–14:11 Á¤ÇØÂù – Robust Task Planning via Failure Detection Using Scene Graph From Multi-View Images (RA-L 2026)
14:11–14:24 ¿À¿ì¼® – Language-Guided Hierarchical Planning with Scene Graphs for Tabletop Object Rearrangement (IROS 2025)
14:24–14:37 ±âÈ£°Ç – Tidiness Score-Guided Monte Carlo Tree Search for Visual Tabletop Rearrangement (RA-L 2025)
14:37–14:50 °­¹ÎÀç – Automatic Real-to-Sim-to-Real System for Robust Robot Manipulation Policy Learning (IROS 2025)

14:50–15:00 Coffee Break (10ºÐ)

[¿ÀÈÄ ¼¼¼Ç 2] Methods and Principles for Adaptive Learning
15:00–15:13 °­¿î»ó – Communication-Efficient Module-Wise Federated Learning for Grasp Pose Detection (RA-L 2026)
15:13–15:26 ÀÓÅÂÇå – Mitigating Resolution-Drift in Federated Learning: Keypoint Detection
15:26–15:39 ±ÇÇõÁø – Stage-Wise Reward Shaping for Acrobatic Robots: A Constrained Multi-Objective Reinforcement Learning Approach (ICRA 2025)
15:39–15:52 ¹ÚÇöÁØ – Boltzmann Exploration for Heavy-Tailed Bandits (AISTATS 2026)
15:52–16:05 À±Áöȯ – LEGO: Latent-space Exploration for Geometry-aware Optimization of Humanoid Kinematic Design (ICRA 2026)

16:05–16:15 Coffee Break (10ºÐ)

[¿ÀÈÄ ¼¼¼Ç 3] Representations and Interaction in Embodied Intelligence
16:15–16:28 ÀüÈ£¿õ – Memory-Efficient Voxelized Renderable Neural 3D Spatial Representation for Vision-Based Robotics (RA-L 2026)
16:28–16:41 ÁøÇöµ¿ – Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language Models (ICCV 2025)
16:41–16:54 ½ÅÁ¤±Ô – Generative Modeling of Class Probability for Multi-Modal Representation Learning (CVPR 2025)
16:54–17:07 ±èÂù¿ì – Learning Social Navigation from Positive and Negative Demonstrations and Rule-Based Specifications (ICRA 2026)
17:07–17:20 ¹ÚÇÏÀº – Adaptive Emotional Expression in Social Robots: A Multimodal Approach to Dynamic Emotion Modeling (ICRA 2025)
17:20–17:33 ±èÇö¼º – The Turkish Ice Cream Robot: Examining Playful Deception in Social Human-Robot Interactions
17:33–        Àú³á ½Ä»ç (¾Æ¶ß¸®¿ò Ȧ)