Deep learning for picking point detection in dense cluster. - Wenhai Liu; Zhenyu Pan; Weijie Liu; Quanquan Shao; Jie Hu 002; Weiming Wang; Jin Ma 006; Jin Qi; Wenjun Zhao; Shaofeng Du (ASCC, 2017)

Fifth order trajectory planning for reducing residual vibration. - Yi Fang; Jie Hu 002; Quanquan Shao; Jin Qi (ICARM, 2019)

Combining RGB and Points to Predict Grasping Region for Robotic Bin-Picking. - Quanquan Shao; Jie Hu 002 (CoRR, 2019)

Suction Grasp Region Prediction using Self-supervised Learning for Object Picking in Dense Clutter. - Quanquan Shao; Jie Hu 002; Weiming Wang; Yi Fang; Wenhai Liu; Jin Qi; Jin Ma 006 (CoRR, 2019)

Bayesian Grasp: Robotic visual stable grasp based on prior tactile knowledge. - Teng Xue; Wenhai Liu; Mingshuo Han; Zhenyu Pan; Jin Ma 006; Quanquan Shao; Weiming Wang (CoRR, 2019)

Object-Agnostic Suction Grasp Affordance Detection in Dense Cluster Using Self-Supervised Learning.docx. - Mingshuo Han; Wenhai Liu; Zhenyu Pan; Teng Xue; Quanquan Shao; Jin Ma 006; Weiming Wang (CoRR, 2019)

Composable Instructions and Prospection Guided Visuomotor Control for Robotic Manipulation. - Quanquan Shao; Jie Hu 002; Weiming Wang; Yi Fang; Mingshuo Han; Jin Qi; Jin Ma 006 (Int. J. Comput. Intell. Syst., 2019)

Location Instruction-Based Motion Generation for Sequential Robotic Manipulation. - Quanquan Shao; Jie Hu 002; Weiming Wang; Yi Fang; Teng Xue; Jin Qi (IEEE Access, 2020)

GraspFusionNet: a two-stage multi-parameter grasp detection network based on RGB-XYZ fusion in dense clutter. - Weiming Wang; Wenhai Liu; Jie Hu 002; Yi Fang; Quanquan Shao; Jin Qi (Mach. Vis. Appl., 2020)

Target Pose Guided Whole-body Grasping Motion Generation for Digital Humans. - Quanquan Shao; Yi Fang (ICARM, 2024)