https://sgvr.kaist.ac.kr/publication/group-estimation-for-social-robot-navigation-in-crowded-environments/
IEEE International Conference on Control, Automation and Systems (ICCAS), 2022
Abstract Socially acceptable navigation in a crowded environment is a challenging problem in robotics due to diverse and unknown human intent. Previous studies have dealt with the social navigation problem … Continue reading "Group Estimation for Social Robot Navigation in Crowded Environments"
https://sgvr.kaist.ac.kr/publication/collision-backpropagation-based-obstacle-avoidance-methodfor-a-legged-robot-expressed-as-a-simplified-dynamics-model/
IEEE International Conference on Control, Automation and Systems (ICCAS), 2022
Abstract Simplified dynamics models have been widely adopted to reduce the computational complexity of motion planning for legged robots. However, not much research has been conducted on the collision avoidance … Continue reading "Collision-Backpropagation based Obstacle Avoidance Method for a Legged Robot Expressed as a Simplified Dynamics Model"
https://sgvr.kaist.ac.kr/publication/iln/
TopIEEE International Conference on Robotics and Automation (ICRA), 2022
https://sgvr.kaist.ac.kr/publication/confidence-based-robot-navigation-under-sensor-occlusion-with-deep-reinforcement-learning/
TopIEEE International Conference on Robotics and Automation (ICRA), 2022
Outstanding navigation paper finalist
Code (zip)
https://sgvr.kaist.ac.kr/publication/rcik-real-time-collision-free-inverse-kinematics-using-a-collision-cost-prediction-network/
TopIEEE Robotics and Automation Letters (RA-L), 2021
https://sgvr.kaist.ac.kr/publication/diffraction-and-reflection-aware-multiple-sound-source-localization/
TopIEEE Transactions On Robotics (T-RO), 2021
https://sgvr.kaist.ac.kr/publication/dynamic-humanoid-locomotion-over-rough-terrain-with-streamlined-perception-control-pipeline/
TopIEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2021
https://sgvr.kaist.ac.kr/publication/%ed%94%84%eb%a0%88%ec%9e%84-%eb%b3%b4%ea%b0%84%ec%9d%84-%ec%9d%b4%ec%9a%a9%ed%95%9c-%ec%9e%90%ea%b8%b0%ec%a7%80%eb%8f%84%ed%95%99%ec%8a%b5-%ea%b8%b0%eb%b0%98-%ec%98%81%ec%83%81-%ec%a3%bc%ed%96%89/
한국로봇종합학술대회(KRoC), 2021
KRoC2021_SebinLee_Final_submission_version
https://sgvr.kaist.ac.kr/publication/rlrrtstar/
Korea Robotics Society Annual Conference (KRoC), 2021
Abstract: Motion Planning is a computational problem to find a valid and optimal path from the given start to the goal configuration. During the last few decades, sampling-based motion planning … Continue reading "모션계획을 위한 강화학습 기반 트리 편향 확장 기술"
https://sgvr.kaist.ac.kr/publication/2442/
한국로봇종합학술대회(KRoC), 2021
Abstract: With recent advances of deep reinforcement learning (DRL) in complex robotic navigation, mobile robots have worked in diverse places. Nonetheless, as the robots operate in a wider set of … Continue reading "외란에 강인한 심층 강화학습 기반 로봇 주행"
https://sgvr.kaist.ac.kr/publication/2670/
Machine Learning for Motion Planning (MLMP) @ ICRA2021, 2021
https://sgvr.kaist.ac.kr/publication/optimization-based-path-planning-for-person-following-using-following-field/
IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2020
https://sgvr.kaist.ac.kr/publication/torm-fast-and-accurate-trajectory-optimization-of-redundant-manipulator-given-an-end-effector-path/
TopIEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2020
https://sgvr.kaist.ac.kr/publication/akimap/
TopIEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2020