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DGIST PiRoL is interested on studying learning-based modeling, control, and sensing for robot and mobility systems with an emphasis on robustness and explainability, and application to real-world systems.
DGIST PiRoL is interested on studying learning-based modeling, control, and sensing for robot and mobility systems with an emphasis on robustness and explainability, and application to real-world systems.
DGIST 지능형로보틱스 연구실은 로봇 및 모빌리티시스템에 적용될 수 있는 learning-based 모델링, 제어 및 센싱 알고리즘에 대해 연구합니다.
특히, 실제 하드웨어 시스템에 적용 가능한 data-driven 기법, explainability 및 robustness를 기반으로 동작하는 AI 모델 개발을 지향합니다.
Probabilistic Robotics
Probabilistic Robotics
Robust estimation and control based on probabilistic AI models and estimation theory
AI for Real-World Robotics
AI for Real-World Robotics
Developing real-time, accurate, and generalizable AI models for robotic systems, capable of learning and control with noisy or extremely limited datasets
Physical Intelligent Systems
Physical Intelligent Systems
Designing hardware with built-in physical and embodied intelligence from the earliest stages of development
Vision, Medical, Mobility
Vision, Medical, Mobility
AI applications relevant to robot vision, medical application, and mobility systems including PHM, fault diagnosis, medical data analysis
Open Position / 대학원생 모집 안내
Open Position / 대학원생 모집 안내
Please refer to 'openings' document
상단 탭의 Openings를 참고해 주세요
LAB NEWS
LAB NEWS
(Mar. 2026) T. Lee and G. Baek joined the PiRoL as Ph.D and M.S students, respectively
(Jan. 2026) C. Lee, D. Lee, and J. Seo joined the PiRoL through the winter undergraduate internship program
(Oct. 2025) Prof. Kim is appointed as an Assistant professor at DGIST Department of Robobtics and Mechantronics, Dageu, Korea
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