Robot Intelligence Technology and Applications 9 Results from the 12th International Conference on Robot Intelligence Technology and Applications

This book serves as a valuable resource for researchers and practitioners in related fields, providing timely insights into recent progress in robotics and artificial intelligence. Today, AI's capabilities exceed human limitations. As AI generates texts, images, and videos, the boundaries between virtual reality and the physical world are becoming increasingly blurred. We are entering a new era in which AI agents can act on our behalf. With the continued development of AI agent systems, robot intelligence has made remarkable advancements and is being applied to the real world. The role of robots is becoming more crucial in the development of both the virtual and physical worlds. The Robot Intelligence Technology and Applications (RiTA) Conferences have significantly contributed to introducing advanced robot intelligence technologies and fostering professional networking. RiTA has a firm grounding in robot intelligence, extending to robot systems, and covering areas such as advanced machine learning, autonomous navigation, human-robot collaboration, explainable AI, sensor integration, robotic swarms, and ethical considerations. This is the 9th edition of the RiTA Conference Proceedings, which features the latest research results from both theoretical and experimental studies and advancements in artificial intelligence and robotics.

It is based on a collection of papers presented at the 12th International Conference on Robot Intelligence Technology and Applications (RiTA), held at Ulsan National Institute of Science & Technology (UNIST), Ulsan, Korea. The conference, with the main theme "Generative Thinking, Generative Action," was held from December 4 to 7, 2024. For better readability, the 34 papers are grouped into three chapters: Chapter I: Perception and Learning; Chapter II: Planning and Control; and Chapter III: Interaction and Applications.

A Composite Neuronal Model as Miniaturized Visual Modality for Collision Perception.- Drone-Based Remote Sensing for Yield Estimation of Xisha Watermelon Using Global Scanning.- Recognition and Image Segmentation of Broccoli Head in Fields under Different Lighting Conditions.- A Training Method with 3D Feature Space Visualization for Pattern Recognition Controlled Myoelectric Prosthetic Hands.- Multimodal Transformer Models for Human Action Classification.- Vertiport Marking Detector for an Instrument Landing System.- FedPGD: Federated Learning with Projected Gradient Descent for Catheter and Guidewire Segmentation.- Synthetic Data Augmentation for Robotic Mobility Aids to Support Blind and Low Vision People.- Wind Field Estimation from UAV Data Using Machine Learning.- Drone Image Processing for Efficient Obstacle Avoidance in Transmission Line Inspections.- Innovative Sensing and Data Processing for Deformation and Texture Classification in Robot-Assisted Minimally Invasive Surgery.- Real-Time Multi-Object Tracking and Identification Using Sparse Point-Cloud Data from Low-Cost mmWave Radar.