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Prof. Yoon and PhD students (Minsung Yoon, Andrew Jeong, Taegeun Yang) led a tutorial session titled “The Evolution of Motion Generation Technologies for Intelligent Robots (지능형 로봇을 위한 모션 생성 기술의 진화)”.

Minsung introduced control methods for robotic arms and quadruped robots via deep reinforcement learning. Andrew presented diffusion and flow model-based robotic control and their future work. And Taegeun introduced recent VLA models and his research about compositional generalization for OOD tasks.

Jaemin Kim presented a paper at the KRoC 2025 Conference, held from February 4th to 6th, 2026. His presentation focused on the research topic “VLM-Guided Motion Planning for Automated Assembly”  This study proposes a method to accelerate the motion planning of parts in assembly tasks, by leveraging the spatial reasoning capabilities of pre-trained Vision-Language Models(VLMs).

홍콩에서 열린 SIGGRAPH Asia 2025에 참가하였습니다. 이번 홍콩 일정에는 홍콩대(HKU) Jia Pan 교수, 이화여대 김영준 교수와 함께 글로벌 로봇 산업의 중심지인 중국 선전을 방문했습니다. 특히 Limit X, UBtech Robotics, 그리고 Engine AI 등 주요 휴머노이드 로봇 기업을 방문하며 차세대 로봇 기술의 현주소를 직접 확인했습니다.

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We are pleased to announce that Prof. Yoon has been selected as a Distinguished Member of the Association for Computing Machinery (ACM), the world’s largest computer science society. The ACM Distinguished Member grade is awarded to members with at least 15 years of professional experience who have achieved significant accomplishments or made a strong impact on the field of computing. This honor is reserved for the top 10% of ACM’s global membership (approximately 110,000 members), with 50-60 individuals selected annually.

He is recognized as an authority in the field of Physical AI and ACM acknowledged his research achievements in scalable rendering for high-speed processing of large-scale 3D models, physics-based simulation, and data generation for AI computer vision. His technologies are currently widely applied as core foundations in future industries ranging from 3D graphics to robotics.

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Woojae and Junsik attended 36th British Machine Vision Conference (BMVC) held during Nov. 24-27th in Sheffield, UK.

Woojae presented AegisRF: Adversarial Perturbations Guided with Sensitivity for Protecting Intellectual Property of Neural Radiance Fields, a novel framework that protects intellectual property of NeRF by employing a learnable sensitivity field to inject adversarial perturbations that disrupt unauthorized downstream tasks while preserving 3D rendering quality.

Junsik presented Learning Event-guided Exposure-agnostic Video Frame Interpolation via Adaptive Feature Blending, a novel event-guided framework for exposure-agnostic video frame interpolation that utilizes target-adaptive sampling and importance mapping to recover sharp frames from blurry inputs by optimizing temporal and spatial feature alignment.

Jinhwan and Yoonki won 1st place out of 23 teams in the Grounded Video Question Answering (GVQA) track at the ICCV 2025 Perception Test Challenge. The framework introduces a three-stage pipeline (Reasoning, Grounding, Tracking) and a novel “trigger moment” derived from a CORTEX prompt for robust anchoring. This method achieved a HOTA score of 0.4968, substantially surpassing the previous year’s winning score of 0.2704. Congratulations!