Smooth and time-optimal S-curve trajectory planning for automated robots and machines Y Fang, J Hu, W Liu, Q Shao, J Qi, Y Peng Mechanism and Machine Theory 137, 127-153, 2019 | 184 | 2019 |
Anygrasp: Robust and efficient grasp perception in spatial and temporal domains HS Fang, C Wang, H Fang, M Gou, J Liu, H Yan, W Liu, Y Xie, C Lu IEEE Transactions on Robotics, 2023 | 57 | 2023 |
Suction grasp region prediction using self-supervised learning for object picking in dense clutter Q Shao, J Hu, W Wang, Y Fang, W Liu, J Qi, J Ma 2019 IEEE 5th International Conference on Mechatronics System and Robots …, 2019 | 56 | 2019 |
Suctionnet-1billion: A large-scale benchmark for suction grasping H Cao, HS Fang, W Liu, C Lu IEEE Robotics and Automation Letters 6 (4), 8718-8725, 2021 | 50 | 2021 |
Progress and prospects of multimodal fusion methods in physical human–robot interaction: A review T Xue, W Wang, J Ma, W Liu, Z Pan, M Han IEEE Sensors Journal 20 (18), 10355-10370, 2020 | 46 | 2020 |
Sagci-system: Towards sample-efficient, generalizable, compositional, and incremental robot learning J Lv, Q Yu, L Shao, W Liu, W Xu, C Lu 2022 International Conference on Robotics and Automation (ICRA), 98-105, 2022 | 21 | 2022 |
Point cloud classification with deep normalized Reeb graph convolution W Wang, Y You, W Liu, C Lu Image and Vision Computing 106, 104092, 2021 | 17 | 2021 |
Ukpgan: A general self-supervised keypoint detector Y You, W Liu, Y Ze, YL Li, W Wang, C Lu Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2022 | 16 | 2022 |
Robotic picking in dense clutter via domain invariant learning from synthetic dense cluttered rendering W Liu, W Wang, Y You, T Xue, Z Pan, J Qi, J Hu Robotics and Autonomous Systems 147, 103901, 2022 | 11 | 2022 |
A novel camera fusion method based on switching scheme and occlusion-aware object detection for real-time robotic grasping W Liu, J Hu, W Wang Journal of Intelligent & Robotic Systems 100 (3), 791-808, 2020 | 10 | 2020 |
A cpg-based online trajectory planning method for industrial manipulators Y Fang, J Hu, W Liu, B Chen, J Qi, X Ye 2016 Asia-Pacific Conference on Intelligent Robot Systems (ACIRS), 41-46, 2016 | 9 | 2016 |
Stable robotic grasp based on visual perception and prior tactile knowledge learning T Xue, W Liu, Z Pan, W Wang Robot 43 (01), 1-8, 2021 | 8 | 2021 |
GraspFusionNet: a two-stage multi-parameter grasp detection network based on RGB–XYZ fusion in dense clutter W Wang, W Liu, J Hu, Y Fang, Q Shao, J Qi Machine Vision and Applications 31, 1-19, 2020 | 8 | 2020 |
UKPGAN: Unsupervised keypoint ganeration Y You, W Liu, YL Li, W Wang, C Lu arXiv preprint arXiv:2011.11974 6 (7), 2020 | 7 | 2020 |
Deep learning for picking point detection in dense cluster W Liu, Z Pan, W Liu, Q Shao, J Hu, W Wang, J Ma, J Qi, W Zhao, S Du 2017 11th Asian Control Conference (ASCC), 1644-1649, 2017 | 7 | 2017 |
Gamma: Generalizable articulation modeling and manipulation for articulated objects Q Yu, J Wang, W Liu, C Hao, L Liu, L Shao, W Wang, C Lu arXiv preprint arXiv:2309.16264, 2023 | 6 | 2023 |
Plug-and-play inertial forward–backward algorithm for Poisson image deconvolution T He, Y Sun, B Chen, J Qi, W Liu, J Hu Journal of Electronic Imaging 28 (4), 043020-043020, 2019 | 6 | 2019 |
Image moments based visual servoing of robot using an adaptive controller Q Shao, J Hu, Y Fang, W Liu, J Qi, GN Zhu 2016 Asia-Pacific Conference on Intelligent Robot Systems (ACIRS), 57-61, 2016 | 6 | 2016 |
Planning trigonometric frequency central pattern generator trajectory for cyclic tasks of robot manipulators Y Fang, J Hu, J Qi, W Liu, W Wang, Y Peng Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2019 | 5 | 2019 |
Real time pose estimation based on extended Kalman filter for binocular camera W Liu, J Hu, Y Fang, Q Shao, K Zheng, GN Zhu 2016 Asia-Pacific Conference on Intelligent Robot Systems (ACIRS), 142-146, 2016 | 4 | 2016 |