Robotics AI,
Generalization
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Research Area
로봇 인지 및 공간 지능 개발
Robotic Perception and Spatial Intelligence
컴퓨터비전, 인공지능 기술 등을 활용하여 로봇 주변 환경을 이해하는 인지기술을 개발합니다. 특히 SLAM, 3D 재구축 등 주변 환경을 3차원으로 이해하는 공간지능을 달성하는데 목표를 가지고 있습니다.
We develop perception technologies that enable robots to understand their surrounding environments using computer vision and artificial intelligence. In particular, our research focuses on achieving spatial intelligence, allowing robots to perceive and understand the world in three dimensions through technologies such as SLAM and 3D reconstruction.
Sim-to-Real 기술을 통한 효율적인 로봇 인공지능 개발
Efficient robotics AI developping with sim-to-real technologies
안전, 비용 등의 문제로 데이터 수집이 어려운 비정형 상황에 대한 학습 데이터를
시뮬레이션을 통해 구축하고, 이를 활용하기 위한 Sim-to-Real 기술을 개발합니다.
Build training data for extreme environments where data collection is difficult due to safety, cost, etc. through simulation, and develop Sim-to-Real technology.
효율적이며 일반화된 로봇 지능 모델 개발
Efficient and Generalizable Robot Intelligence Models
데이터를 수집하기 어렵고, 자원이 한정된 비정형 상황(복잡한 협력작업, 사고, 군사상황 등), 산업현장 등에서 활용할 수 있는 효율적이며 일반화된 로봇 지능 모델을 개발합니다.
We develop efficient and generalizable robot intelligence models that can operate effectively in unstructured environments where data collection is difficult and computational or physical resources are limited. Our research particularly targets challenging real-world scenarios, including complex collaborative tasks, accidents and emergency situations, military operations, and industrial environmen
Contact us!
Prof. Yeongmin Ko
College of Advanced Institute of Science and Technology, Kyungpook National University
Department of Robotics
Contact number: (+82)053-950-4545
Email: koyeongmin@knu.ac.kr
Address: Room 415, College of Advanced Institute of Science and Technology, 47, Gyeongdae-ro 17-gil, Buk-gu, Daegu, Republic of Korea
Robotics AI Generalization(RAG) Lab
Other links: [KNU], [Department], [Admissions Office]
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