Learning visual affordances with target-orientated deep Q-network to grasp objects by harnessing environmental fixtures H Liang, X Lou, C Choi 2021 IEEE International Conference on Robotics and Automation (ICRA), 1-7, 2019 | 42* | 2019 |
Collision-Aware Target-Driven Object Grasping in Constrained Environments X Lou, Y Yang, C Choi 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021 | 40 | 2021 |
Learning to generate 6-dof grasp poses with reachability awareness X Lou, Y Yang, C Choi 2020 IEEE International Conference on Robotics and Automation (ICRA), 1532-1538, 2020 | 30 | 2020 |
Attribute-Based Robotic Grasping with One-Grasp Adaptation Y Yang, Y Liu, H Liang, X Lou, C Choi 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021 | 25 | 2021 |
Interactive Robotic Grasping with Attribute-Guided Disambiguation Y Yang, X Lou, C Choi 2022 IEEE International Conference on Robotics and Automation (ICRA), 2022 | 20 | 2022 |
Learning Object Relations with Graph Neural Networks for Target-Driven Grasping in Dense Clutter X Lou, Y Yang, C Choi 2022 IEEE International Conference on Robotics and Automation (ICRA), 2022 | 14 | 2022 |
IOSG: Image-Driven Object Searching and Grasping H Yu, X Lou, Y Yang, C Choi 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 1 | 2023 |
Attribute-Based Robotic Grasping With Data-Efficient Adaptation Y Yang, H Yu, X Lou, Y Liu, C Choi IEEE Transactions on Robotics, 2024 | | 2024 |
Adversarial Object Rearrangement in Constrained Environments with Heterogeneous Graph Neural Networks X Lou, H Yu, R Worobel, Y Yang, C Choi The 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | | 2023 |
Efficient Robotic Manipulation with Scene Knowledge X Lou University of Minnesota, 2023 | | 2023 |