Papers
3
Total Citations
28
H-Index
2
About
Se Hwan Jeon is a researcher working at the intersection of robotics, artificial intelligence, and digital fabrication. His work spans two compelling frontiers: reinforcement learning for robotic locomotion and the integration of generative AI with physical manufacturing systems. In the domain of humanoid robotics, Jeon has made notable contributions to reward function design for reinforcement learning pipelines, with his 2023 paper on benchmarking potential-based rewards for humanoid locomotion accumulating 21 citations — highlighting the significance of this challenge in developing agile, capable robots. More recently, Jeon has pioneered innovative approaches to democratizing physical object creation, developing systems that translate natural language and speech directly into fabricated artifacts through the combination of 3D generative AI and discrete robotic assembly. This work addresses critical real-world constraints including sustainability, functionality, and accessibility, lowering barriers for non-experts in design and manufacturing. Across his portfolio, Jeon demonstrates a consistent drive to bridge the gap between intelligent systems and the physical world, making advanced robotics and fabrication technologies more practical, accessible, and impactful for a broad range of users.
Research Focus
Key Achievements
Top Papers
- 1Benchmarking Potential Based Rewards for Learning Humanoid Locomotion21 citations · 2023
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