Research
Research Projects
Smart Assembler: Robot Active Learning for Unseen Parts Assembly
Funded by NRF [우수신진연구, 최초혁신실험실]
Development of Emotion Recognition/Generation-based Interacting Edge Device Technology for Mental Health Care
Development of Personalized Recommendation System Based on Emotions-Aware Reinforcement Learning
Funded by IITP
Development of Stock Prediction Models using Explainable AI with Multi-modal Data and Deep Reinforcement Learning
Development of Algorithmic Trading System Based on Deep Reinforcement Learning
Funded by NRF
Development of a lightweight gripper and an object recognition system
with a success rate of over 90% for structured/unstructured object recognition suitable for the service field.
Funded by Seoul Business Agency
Development of AI Algorithm for Operator Assistance
Funded by Doo-San
인공지능대학원 지원 사업
인공지능대학원 인재양성 지원 사업 - 중앙대학교
Funded by MSIT
Past Projects
Development of Reinforcement Learning Algorithm for Urban Autonomous Driving
Funded by Hyundai NGV
CAN Data-based Forklift CUP Analysis
Funded by Doo-San
Uncertainty Aware Task and Motion Planning
Funded by NRF
Unsupervised Out-of-Distribution Detection
Collaborate with Mathpresso
Reinforcement Learning based Press Molding Optimization
Collaborate with Hyundai NGV
Domain Generalization with Pre-trained Models
Collaborate with Kakao Brain
This work was published at ECCV 2022
Developing Embedded AI Systems
Funded by Doo-San
Domain Generalization via Finding Flat Minima
Collaborate with Naver Clova AI
This work was published at NeurIPS 2021
Robot Learning from Demonstrations with Mixed Qualities
Funded by NRF
Tsallis Entropy Reinforcement Learning
Collaborate with Kakao Brain
This work was published at RSS 2020