Andrew Jeong

Our research group has been selected for two major InnoCORE research initiatives, marking an important step toward advancing next-generation AI and robotics research.

1. AI Meta-Scientist Initiative

Vision: Toward AI systems that autonomously generate new knowledge

The AI Meta-Scientist Initiative aims to develop a new class of AI systems capable of scientific discovery and knowledge creation.

The project focuses on integrating:
– Advanced foundation models
– Reasoning capabilities
– System-level orchestration
to realize an AI system operating at the level of a research institute director (meta-scientist-level intelligence).

2. 5D AI Robotics Initiative (5D AI-RI)

Vision: Next-generation multimodal robot AI for real-world adaptation

The 5D AI Robotics Initiative (5D AI-RI) aims to develop:
– World-leading 5D multimodal robot foundation models
– Real-world adaptive robotic platforms
with the goal of advancing embodied AI and fostering national-level
top-tier young researchers in robotics and AI.
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Program Highlights

Duration: 5 years
Support: Up to 2 postdoctoral researchers per year
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These initiatives will enable our group to push the frontier of physical intelligence, embodied AI, and AI-driven scientific discovery, while contributing to the development of next-generation AI talent and technologies.

SGVR 연구실이 KAIST 안의 신설 조직인 AI 컴퓨팅학과에 참여하여,

앞으로 석/박사 과정 학생을 해당 학과에서도 선발할 예정입니다.

현재 SGVR 연구실은 아래 프로그램으로 학생을 선발할수 있습니다.
– 전산학과
– 로봇학제 및 REPS 프로그램 (삼성전자 프로그램)
– 미래자동차학제 및 REPS 프로그램 (삼성전자 프로그램)
– AI 컴퓨팅 학과
– 김재철 AI 대학원

올해 윤성의 교수님이 석좌교수로 임명되어 축하 회식 자리를 가졌습니다.
교수님과 연구실 학생 모두의 밝은 앞날을 응원합니다!

윤성의 교수님이 로봇학제 책임교수로서 로봇학제 석박사 입시 설명회 및 삼성전자-로봇학제 프로그램, REPS 입시 설명회를 진행 하였습니다.
SGVR 연구실에서는 앞으로 지속적으로 로봇학제 학생을 선발할 예정입니다.

윤성의 교수님이 연구책임자로서 최근 정보통신기획평가원 (IITP) 연구과제에 선정되어, 앞으로 3년간 연간 약 10억원 규모의 지원을 받아 물리 통합 지능 기반 차세대 AI 연구를 수행하게 됩니다.

공동연구자인 전산학부 김태균 교수님, 성민혁 교수님, 오태현 교수님과 전기및전자공학부 명현 교수님과 더불어, (주)홀리데이로보틱스와의 협력을 통해, 원천 기술 개발에서 실제 환경에 대한 적용까지 계획하고 있습니다.

본 과제를 수행하며 물리적 이해에 기반한 디지털 세계 구축 및 에이전트의 자율 인지·판단 기술을 고도화하여, 피지컬 AI의 핵심 기술 확보에 주력할 예정입니다.

Our lab members Yoonki and Jaeyoon graduated with PhD degrees, and Seokryun, Xiangchen, Chanmi, Taeyeon, Jiwoo, Joonsung, Sejin graduated with Master’s degree. Congratuations!

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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.

News link

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!