Wei Wei

Orcid: 0000-0001-9654-0981

Affiliations:
  • Hong Kong Institute of Science and Innovation, Chinese Academy of Sciences, Hong Kong, SAR, China


According to our database1, Wei Wei authored at least 14 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
ScaleADFG: Affordance-Based Dexterous Functional Grasping via Scalable Dataset.
IEEE Robotics Autom. Lett., January, 2026

2025
GraspAgent 1.0: Adversarial Continual Dexterous Grasp Learning.
IEEE Robotics Autom. Lett., January, 2025

Reactive Human-to-Robot Dexterous Handovers for Anthropomorphic Hand.
IEEE Trans. Robotics, 2025

2024
Progressive Transfer Learning for Dexterous In-Hand Manipulation With Multifingered Anthropomorphic Hand.
IEEE Trans. Cogn. Dev. Syst., December, 2024

Continual Learning for Anthropomorphic Hand Grasping.
IEEE Trans. Cogn. Dev. Syst., April, 2024

Learning Human-Like Functional Grasping for Multifinger Hands From Few Demonstrations.
IEEE Trans. Robotics, 2024

Learning Realistic and Reasonable Grasps for Anthropomorphic Hand in Cluttered Scenes.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Learning Human-to-Robot Dexterous Handovers for Anthropomorphic Hand.
IEEE Trans. Cogn. Dev. Syst., September, 2023

Progressive Transfer Learning for Dexterous In-Hand Manipulation with Multi-Fingered Anthropomorphic Hand.
CoRR, 2023

Learning Tri-mode Grasping for Ambidextrous Robot Picking.
CoRR, 2023

2022
DVGG: Deep Variational Grasp Generation for Dextrous Manipulation.
IEEE Robotics Autom. Lett., 2022

HGC-Net: Deep Anthropomorphic Hand Grasping in Clutter.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Robotics Dexterous Grasping: The Methods Based on Point Cloud and Deep Learning.
Frontiers Neurorobotics, 2021

GPR: Grasp Pose Refinement Network for Cluttered Scenes.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021


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