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Research Interests
• Manipulation, Skill & Policy Learning
• Perception & Motion Intelligence
• Robotic Additive Manufacturing
My long-term vision is to develop human-level robots—machines that can perceive, reason, and act in ways inspired by human intelligence. With a background bridging both computer science and mechanical engineering, I strive to integrate these perspectives to create novel value in robotics research and applications.
I am open to all kinds of contact and opportunities, and I am excited to build relationships that foster mutual growth and shared advancement with you.
(2025-2026) Robotic Additive Manufacturing
Online Surface Tracking for Robotic Additive Manufacturing
Anomaly Detection with Pre-Trained Audio Tokenizer (TBD)
Robotic Additive Manufacturing (TBD)
(2024) Constraint-Aware Dynamic Movement Primitives
Constraint-Aware Dynamic Movement Primitives
Recovery from Failure
Inverse Reinforcement Learning[2]-based Optimization for Dynamic Movement Primitives
Rule-based Optimization for Dynamic Movement Primitives
(2023) Deformable Object Manipulation
Deformable Object Manipulation with Visually Similar Twisted-State [1]
Deformable Object Manipulation (TBD)
State Representation Learning [1]
Reinforcement Learning
(2022) Data Collection
Elastic Deformable Object
Human-Expert Skilled Motion (TBD)
Retargeting
Real-World Teleoperation
[1] Main Contributor: Jungho Ha; Contributor: Bonggyeong Park & Chanyoung Ahn
[2] Main Contributor: Jaewhi Jang; Contributor: Bonggyeong Park
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