This research implements the You Only Look Once (YOLO) algorithm for object detection on a forklift-type mobile robot. The dataset was collected using a Logitech Brio 100 webcam mounted on the forklift, producing 2,080 images across eight object classes. The dataset was annotated and used to train YOLOv8 and YOLOv11 models with various epochs. The results show that YOLOv11 at 100 epochs achieve…
Autonomous underwater vehicles (AUVs) are emerging as a promising solution to help us explore and understand the ocean. The global market for AUVs is predicted to grow from 638 million dollars in 2020 to 1,638 million dollars by 2025 – a compound annual growth rate of 20.8 percent. To make AUVs suitable for a wider range of application-specific missions, it is necessary to deploy multiple AUV…
This monograph is framed within the context of off-road mobile robotics. In particular, it discusses issues related to modelling, localization, and motion control of tracked mobile robots working in planar slippery conditions. Tracked locomotion constitutes a well-known solution for mobile platforms operating over diverse challenging terrains, for that reason, tracked robotics constitutes an im…