News

Our paper on safe imitation learning is accepted to Robotics and Autonomous Systems
Our paper on safe imitation learning is accepted to Robotics and Autonomous Systems
Three papers from RLLAB are accepted to ICRA 2026
Three papers from RLLAB are accepted to ICRA 2026
[Invited Talk] Vision-Language Guided Program Search for Language-Conditioned Diffusion Driving Policies
[Invited Talk] Vision-Language Guided Program Search for Language-Conditioned Diffusion Driving Policies
Our paper on voxelized renderable neural 3D spatial representation is accepted to IEEE RA-L
Our paper on voxelized renderable neural 3D spatial representation is accepted to IEEE RA-L
로봇 스스로 테이블 정리하는 AI 기술 개발
로봇 스스로 테이블 정리하는 AI 기술 개발
Our paper on skill discovery for long-horizon robotic tasks is accepted to IEEE RA-L
Our paper on skill discovery for long-horizon robotic tasks is accepted to IEEE RA-L
Our paper on visual tabletop rearrangement is accepted to IEEE RA-L
Our paper on visual tabletop rearrangement is accepted to IEEE RA-L
Three papers from RLLAB are accepted to IROS 2025
Three papers from RLLAB are accepted to IROS 2025
Our paper on reinforcement learning for acrobatic robots is accepted to ICRA 2025
Our paper on reinforcement learning for acrobatic robots is accepted to ICRA 2025
Our paper on constrained multi-objective reinforcement learning is accepted to ICLR 2025
Our paper on constrained multi-objective reinforcement learning is accepted to ICLR 2025
Two papers from RLLAB are accepted to NeurIPS 2024
Two papers from RLLAB are accepted to NeurIPS 2024
Our paper on semantic atlas for visual navigation is accepted to Knowledge-Based Systems
Our paper on semantic atlas for visual navigation is accepted to Knowledge-Based Systems
Our paper on common-sense object-goal visual navigation is accepted to ICRA@40
Our paper on common-sense object-goal visual navigation is accepted to ICRA@40
Five papers from RLLAB are accepted to IROS 2024
Five papers from RLLAB are accepted to IROS 2024
Our paper on object-goal visual navigation is accepted to IEEE RA-L
Our paper on object-goal visual navigation is accepted to IEEE RA-L
Two papers from RLLAB are accepted to ICRA 2024
Two papers from RLLAB are accepted to ICRA 2024
Three papers from RLLAB are accepted to NeurIPS 2023
Three papers from RLLAB are accepted to NeurIPS 2023
Our paper on urban autonomous driving is accepted to IEEE RA-L
Our paper on urban autonomous driving is accepted to IEEE RA-L
Two papers from RLLAB are accepted to IROS 2023
Two papers from RLLAB are accepted to IROS 2023
Two papers from RLLAB are accepted to CVPR 2023
Two papers from RLLAB are accepted to CVPR 2023
Two papers from RLLAB are accepted to ICRA 2023
Two papers from RLLAB are accepted to ICRA 2023
Our paper on topological semantic graph memory for visual navigation is accepted to CoRL 2022 as oral presentation
Our paper on topological semantic graph memory for visual navigation is accepted to CoRL 2022 as oral presentation
Seven papers from RLLAB are accepted to IROS 2022
Seven papers from RLLAB are accepted to IROS 2022
[Invited Talk] Control and Path Planning of Walking Robots Using Reinforcement Learning
[Invited Talk] Control and Path Planning of Walking Robots Using Reinforcement Learning
Our paper on efficient off-policy safe reinforcement learning is accepted to IEEE RA-L
Our paper on efficient off-policy safe reinforcement learning is accepted to IEEE RA-L
Our paper on unsupervised 3D segmentation of articulated objects is accepted to IEEE RA-L
Our paper on unsupervised 3D segmentation of articulated objects is accepted to IEEE RA-L
Three papers from RLLAB are accepted to ICRA 2022
Three papers from RLLAB are accepted to ICRA 2022
Our paper on incremental learning with adaptive model search is accepted to IEEE Access
Our paper on incremental learning with adaptive model search is accepted to IEEE Access
Our paper on dynamic-aware metric learning is accepted to IEEE RA-L
Our paper on dynamic-aware metric learning is accepted to IEEE RA-L
Our paper on safe reinforcement learning is accepted to IEEE RA-L
Our paper on safe reinforcement learning is accepted to IEEE RA-L