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휴머노이드 로봇 HUMIC 개발 및 Gazebo 시뮬레이터를 이용한 강화학습 기반 로봇 행동 지능 연구
Development of Humanoid Robot HUMIC and Reinforcement Learning-based Robot Behavior Intelligence using Gazebo Simulator 원문보기

로봇학회논문지 = The journal of Korea Robotics Society, v.16 no.3, 2021년, pp.260 - 269  

김영기 (Dept. of Computer Science and Engineering, Seoul National University of Science and Technology) ,  한지형 (Dept. of Computer Science and Engineering, Seoul National University of Science and Technology)

Abstract AI-Helper 아이콘AI-Helper

To verify performance or conduct experiments using actual robots, a lot of costs are needed such as robot hardware, experimental space, and time. Therefore, a simulation environment is an essential tool in robotics research. In this paper, we develop the HUMIC simulator using ROS and Gazebo. HUMIC i...

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