INDEX TERMS  
Graph Neural Network, Robotics, Deep Learning, Human-Machine Interaction

I. INTRODUCTION
A. LEARNING FROM UNSTRUCTURED DATA  
B. SURVEY METHODOLOGY  
C. HOW TO NAVIGATE THIS SURVEY  

II. PRELIMINARIES ON GRAPH NEURAL NETWORKS
A. GRAPH SIGNAL THEORY BACKGROUNDS  

III. GNNS FOR SINGLE-AGENT SYSTEMS
A. MODELLING OF BODIES  
B. GRASPING AND MANIPULATION  
C. HUMAN ACTION RECOGNITION  

IV. GNNS FOR MULTI-AGENT SYSTEMS
A. TASK AND MOTION PLANNING  
B. EXPLORATION AND NAVIGATION  

V. STRENGTHS AND LIMITATIONS OF CURRENT LITERATURE

VI. CONCLUSIONS AND FUTURE PERSPECTIVES