Ping Jiang

Orcid: 0000-0002-7148-102X

Affiliations:
  • Toshiba Corporation, Kawasaki, Japan


According to our database1, Ping Jiang authored at least 6 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Multiple-Object Grasping Using a Multiple-Suction-Cup Vacuum Gripper in Cluttered Scenes.
Robotics, June, 2024

MultipleCupSuctionNet: Deep Neural Network for Detecting Grasp Pose of a Vacuum Gripper with Multiple Suction Cups based on YOLO Feature Map Affine Transformation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Hybrid-AI Grasp Planning System that Integrates Rule-Based and DNN-Based Methods for Throughput Improvement of Picking Robots.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2024

2023
Robotic grasp detection toward unknown objects using 3D edge detection and Gaussian mixture model for clustering candidates.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

2022
Learning Suction Graspability Considering Grasp Quality and Robot Reachability for Bin-Picking.
Frontiers Neurorobotics, 2022

2020
Depth Image-Based Deep Learning of Grasp Planning for Textureless Planar-Faced Objects in Vision-Guided Robotic Bin-Picking.
Sensors, 2020


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