A New Approach Based on Two-stream CNNs for Novel Objects Grasping in Clutter. - Peiyuan Ni; Wenguang Zhang; Weibang Bai; Minjie Lin; Qixin Cao (J. Intell. Robotic Syst., 2019)

PointNet++ Grasping: Learning An End-to-end Spatial Grasp Generation Algorithm from Sparse Point Clouds. - Peiyuan Ni; Wenguang Zhang; Xiaoxiao Zhu; Qixin Cao (ICRA, 2020)

Learning efficient push and grasp policy in a totebox from simulation. - Peiyuan Ni; Wenguang Zhang; Haoruo Zhang; Qixin Cao (Adv. Robotics, 2020)

A light-weight on-line action detection with hand trajectories for industrial surveillance. - Peiyuan Ni; Shilei Lv; Xiaoxiao Zhu; Qixin Cao; Wenguang Zhang (Digit. Commun. Networks, 2021)

Learning an end-to-end spatial grasp generation and refinement algorithm from simulation. - Peiyuan Ni; Wenguang Zhang; Xiaoxiao Zhu; Qixin Cao (Mach. Vis. Appl., 2021)

PanelPose: A 6D Pose Estimation of Highly-Variable Panel Object for Robotic Robust Cockpit Panel Inspection. - Han Sun; Peiyuan Ni; Zhiqi Li; Yizhao Wang; Xiaoxiao Zhu; Qixin Cao (IROS, 2023)

Reasoning and Learning a Perceptual Metric for Self-Training of Reflective Objects in Bin-Picking with a Low-cost Camera. - Peiyuan Ni; Chee-Meng Chew; Marcelo H. Ang Jr.; Gregory S. Chirikjian (CoRR, 2025)