Students
Ph.D. Students
Click on a card to view detailed information
Sungyong Park
ejqdl010@gmail.com
EE. Soongsil University, B.S.
Computer Vision, Deep Learning
Sungyong Park
Research: Computer Vision, Deep Learning
Awards & Activities
- AI Seoul Tech Research Support Program — Selected (2026)
- ARNOLD Challenge 2nd Place (2026)
- ARNOLD Challenge 1st Place (2025)
- ARNOLD Challenge 3rd Place (2024)
Publications
- CLP: A Real-World Dataset of Contaminated Lens Protectors for Robust Semantic Segmentation - CVPR26 2026
- Fine-tuning Robotic Foundation Model Using Dynamic Scene Generation - EAI Workshop 2026
- Toward Interpretable Space Image Denoising by Learning Cross-Sensor Celestial Signals - NTIRE-CVPRW26 2026
- DynScene: Scalable Generation of Dynamic Robotic Manipulation Scenes for Embodied AI - CVPR 2025
- SIDL: A Real-World Dataset for Restoring Smartphone Images with Dirty Lenses - AAAI 2025
- Unsupervised Discovery of Transformations between Fine-Grained Classes in Diffusion Models - BMVC 2025
Hojae Jeong
98eddiechung@gmail.com
SWE, Soongsil University, B.S.
Computer Vision, Generative AI
Hojae Jeong
Research: Computer Vision, Generative AI
Publications
- Keep the Flow: Continuous High-Precision Bimanual Manipulation in Constrained Spaces - CVPRW26 2026
- Unsupervised Discovery of Transformations between Fine-Grained Classes in Diffusion Models - BMVC 2025
Juhyoung Lee
i0179@naver.com
EE. Korea National University of Transportation, B.S.
Robotics, Physical AI
Juhyoung Lee
Research: Robotics, Physical AI
Publications
- Keep the Flow: Continuous High-Precision Bimanual Manipulation in Constrained Spaces - CVPRW26 2026
Master’s Students
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Minjoo Koh
minjoo0350@gmail.com
Data Science, Sejong University, B.S.
3D Vision, AI for Sports
Minjoo Koh
Research: 3D Vision, AI for Sports
Jiwoo Seo
jiwooindaeyo@gmail.com
Media, Soongsil University, B.S.
Computer Vision, Deep Learning
Jiwoo Seo
Research: Computer Vision, Deep Learning
Sooyoung Choi
csy010921@gmail.com
Media, Soongsil University, B.S.
Computer Vision, Deep Learning
Sooyoung Choi
Research: Computer Vision, Deep Learning
Awards & Activities
- UNITHON Hackathon - Grand Prize (2025)
Publications
- CLP: A Real-World Dataset of Contaminated Lens Protectors for Robust Semantic Segmentation - CVPR26 2026
- SIDL: A Real-World Dataset for Restoring Smartphone Images with Dirty Lenses - AAAI 2025
Jiwon Hwang
91.hwng@gmail.com
Media, Soongsil University, B.S.
CSE, Soongsil University, B.S.
Computer Vision, Deep Learning
Jiwon Hwang
Research: Computer Vision, Deep Learning
Research Interns
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Eunwoo Song
song200348@gmail.com
Media, Soongsil University, B.S.
Language Model, Deep Learning
Eunwoo Song
Research: Language Model, Deep Learning
Publications
- Towards Thermal-Aware Humanoid Locomotion: Estimating Unobserved Winding Temperatures - CVPRW26 2026
- Keep the Flow: Continuous High-Precision Bimanual Manipulation in Constrained Spaces - CVPRW26 2026
Jaehyeon Lee
gogozzi1102@gmail.com
Media, Soongsil University, B.S.
Computer Vision, Deep Learning
Jaehyeon Lee
Research: Computer Vision, Deep Learning
Jungha Lim
sonic0823@naver.com
Media, Soongsil University, B.S.
Computer Vision, Deep Learning
Jungha Lim
Research: Computer Vision, Deep Learning
Yeunsuh Kim
yeunsuh.kim@gmail.com
Globalmedia, Soongsil University, B.S.
Physical AI
Yeunsuh Kim
Research: Physical AI
Hyunsoo Park
hyunsoopark41@gmail.com
AI Software Engineering, Soongsil University, B.S.
Physical AI
Hyunsoo Park
Research: Physical AI
Sunghyun Ku
paul2paulku@gmail.com
CSE, Tech University of Korea, B.S.
Deep Learning, Computer Vision
Sunghyun Ku
Research: Deep Learning, Computer Vision
Seungmi Lee
leeseoungmi1110@gmail.com
Media, Soongsil University, B.S.
CSE, Soongsil University, B.S.
Physical AI
Seungmi Lee
Research: Physical AI
Cheolhyeon Kim
huyni0000@naver.com
AI Software Engineering, Soongsil University, B.S.
Physical AI
Cheolhyeon Kim
Research: Physical AI
Subin Kang
kangbin61@gmail.com
AI Software Engineering, Soongsil University, B.S.
Computer Vision, Robotics
Subin Kang
Research: Computer Vision, Robotics
Dongje Lee
dongje.musk.lee@gmail.com
Physics, Soongsil University, B.S.
Next-Generation Semiconductor, Soongsil University, B.S.
Physical AI
Dongje Lee
Research: Physical AI
Wookhee Cho
landss@naver.com
AI Software Engineering, Soongsil University, B.S.
Physical AI
Wookhee Cho
Research: Physical AI
Research Robots
Click on a card to view detailed specifications
MARO
ROBOTIS AI Worker FFW-SG2 (mobile)
Joined: August 2026
MARO
Model: ROBOTIS AI Worker FFW-SG2 (mobile)
Joined: August 2026
Reality Lab's mobile manipulation platform, the mobile variant of ROBOTIS' AI Worker. A swerve-drive base carries dual 7-DoF arms on a lift body, with an NVIDIA Jetson AGX Orin, three RGB-D cameras and two LiDARs, supporting Vision-Language-Action research in real service environments.
- Height: 162 cm
- Weight: 90 kg
- DoF: 25 Joints (7 per arm, plus head, lift, and mobile base)
- Speed: Up to 1.5 m/s (swerve drive)
- Battery: 2,040 Wh (25 V, 80 Ah)
- Payload: 3 kg (per arm, 5 kg peak)
DARO
Unitree G1 EDU
Joined: January 2026
DARO
Model: Unitree G1 EDU
Joined: January 2026
Reality Lab's third humanoid robot member. Capable of dynamic locomotion, object manipulation, and learning new skills through reinforcement learning.
- Height: 127 cm
- Weight: 35 kg
- DoF: 23+ Joints (43 DoF with hands)
- Speed: Up to 2 m/s walking
- Battery: ~2 hours runtime
- Payload: 0.5 kg (per arm)
NARO
ToddlerBot (Stanford open-source humanoid)
Joined: December 2025
NARO
Model: ToddlerBot (Stanford open-source humanoid)
Joined: December 2025
Reality Lab's compact humanoid, built on Stanford's open-source ToddlerBot platform. Fully 3D-printed and driven by Dynamixel smart servos, NARO is used for whole-body loco-manipulation research and low-cost sim-to-real policy learning.
- Height: 56 cm
- Weight: 3.4 kg
- DoF: 30 Joints (7 per arm, 6 per leg, 2 neck, 2 waist)
- Speed: Up to 0.25 m/s walking
- Battery: ~19 min continuous walking
- Payload: 1.5 kg (40% of body weight)
GARO
RedRabbitRobotics RX-1(heavily modified)
Joined: Dec 2025
GARO
Model: RedRabbitRobotics RX-1(heavily modified)
Joined: Dec 2025
A custom humanoid built on the Red Rabbit Robotics platform, featuring tuned gearboxes, in-house interface and hardware upgrades, and a chassis redesigned for Vision-Language-Action (VLA) integration — extended with a custom-developed wheeled mobile base and lift body for full-body mobility.
- Height: 2M
- Weight: 60kg
- DoF: 21DOF
- Speed: 3m/s
- Battery: ~7 hours runtime
- Payload: 0.4 kg (per arm)
