Quanquan Shao

According to our database, Quanquan Shao authored at least 9 papers between 2017 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

GraspFusionNet: a two-stage multi-parameter grasp detection network based on RGB-XYZ fusion in dense clutter.

Weiming Wang, Wenhai Liu, Jie Hu, Yi Fang, Quanquan Shao, Jin Qi

Mach. Vis. Appl., 2020

Location Instruction-Based Motion Generation for Sequential Robotic Manipulation.

Quanquan Shao, Jie Hu, Weiming Wang, Yi Fang, Teng Xue, Jin Qi

IEEE Access, 2020

2019

Composable Instructions and Prospection Guided Visuomotor Control for Robotic Manipulation.

Quanquan Shao, Jie Hu, Weiming Wang, Yi Fang, Mingshuo Han, Jin Qi, Jin Ma

Int. J. Comput. Intell. Syst., 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, Weiming Wang

CoRR, 2019

Bayesian Grasp: Robotic visual stable grasp based on prior tactile knowledge.

Teng Xue, Wenhai Liu, Mingshuo Han, Zhenyu Pan, Jin Ma, Quanquan Shao, Weiming Wang

CoRR, 2019

Suction Grasp Region Prediction using Self-supervised Learning for Object Picking in Dense Clutter.

Quanquan Shao, Jie Hu, Weiming Wang, Yi Fang, Wenhai Liu, Jin Qi, Jin Ma

CoRR, 2019

Combining RGB and Points to Predict Grasping Region for Robotic Bin-Picking.

Quanquan Shao, Jie Hu

CoRR, 2019

Fifth order trajectory planning for reducing residual vibration.

Yi Fang, Jie Hu, Quanquan Shao, Jin Qi

Proceedings of the 4th IEEE International Conference on Advanced Robotics and Mechatronics, 2019

2017

Deep learning for picking point detection in dense cluster.

Wenhai Liu, Zhenyu Pan, Weijie Liu, Quanquan Shao, Jie Hu, Weiming Wang, Jin Ma, Jin Qi, Wenjun Zhao, Shaofeng Du

Proceedings of the 11th Asian Control Conference, 2017