My name is JungYeon Lee, and I am deeply passionate about robotics and reinforcement learning. I enjoy exploring innovative learning methods, solving complex problems, and contributing to the advancement of technology that fosters closer collaboration between humans and robots.
My guiding principle is Stop Wishing, Start Doing, and I am committed to working toward a future where humans and robots coexist harmoniously and dynamically.
My Interest Fields are
- Machine learning | Deep learning | Reinforcement learning
- Bioinspired-Robots | Simulations for Robotics
- On-device AI | Quantum computing
Skills and Tools:
Work Experience
AI Researcher / Engineer, WONIK Robotics 2024.08~Present
- Allegro Hand Advanced Research Team
- Developed a deep reinforcement learning-based In-Hand Rotation AI motion system for the Allegro Hand
- Built an AI Hand Retargeting system for Allegro Hand teleoperation
- Extended ROS1/2 systems for Allegro Hand real-time operation
- Developed a Vision AI system and an image segmentation auto-labeling tool for a golf-course soil-spreading robot
AI Robotics Engineer, CMES Robotics 2024.03~2024.07
- AI & Algorithm Team
- Researched and developed a Variational Constrained Grasp Sampler for multiple grasp-candidate generation
- Researched and developed LLM-based clustered-object selection/control logic using multimodal Graph Prompts
Education
M.Eng. 2022.03~2024.02
- M.S. in MECHANICAL ENGINEERING, SungKyunKwan University(SKKU)
- Researcher at Robotics Innovatory Lab. Quadrupedal Walking Robot Team
2021.01.11~01.29
- TU Berlin Winter University Online : Machine learning using Pyhon - Theory and Application
- Grade : 1.0(the best score)
- 5 credit points according to the ECTS(European Credit Transfer System)
B.Eng. 2018.03~2022.02
- B.S. in ENGINEERING MECHANICAL & SYSTEM DESIGN ENGINEERING, HongIk University
- Integrated Major in Design Engineering
- Completed Accereditation Board for Engineering Education of Korea(ABEEK)
- Undergraduate research student at Autonomous Navigation Lab
