Learning Granularity-Aware Affordances From Human-Object Interaction for Tool-Based Functional Dexterous Grasping Article

Yang, Fan, Chen, Wenrui, Yang, Kailun et al. (2025). Learning Granularity-Aware Affordances From Human-Object Interaction for Tool-Based Functional Dexterous Grasping . IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 36(11), 19589-19603. 10.1109/TNNLS.2025.3591538

cited authors

  • Yang, Fan; Chen, Wenrui; Yang, Kailun; Lin, Haoran; Luo, Dongsheng; Tang, Conghui; Li, Zhiyong; Wang, Yaonan

authors

publication date

  • November 1, 2025

keywords

  • Affordances
  • Annotations
  • Computer Science
  • Computer Science, Artificial Intelligence
  • Computer Science, Hardware & Architecture
  • Computer Science, Theory & Methods
  • Dexterous grasping
  • Engineering
  • Engineering, Electrical & Electronic
  • Feature extraction
  • Grasping
  • Hands
  • Location awareness
  • MANIPULATION
  • Predictive models
  • Robot kinematics
  • Robots
  • Science & Technology
  • Technology
  • Visualization
  • dexterous hand
  • hand-object interaction
  • tool manipulation
  • visual affordance

Digital Object Identifier (DOI)

publisher

  • IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

start page

  • 19589

end page

  • 19603

volume

  • 36

issue

  • 11