Titlebook: RoboCup 2022: Robot World Cup XXV; Amy Eguchi,Nuno Lau,Thanapat Wanichanon Conference proceedings 2023 The Editor(s) (if applicable) and T

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Towards a Real-Time, Low-Resource, End-to-End Object Detection Pipeline for Robot SoccerSpecifically, we focus on end-to-end trainable object detection for effective perception using Aldebaran NAO v6 robots. The implementation of such a detector poses two major challenges, those of speed, and resource-effectiveness with respect to memory and computational power. We benchmark architectu

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Object Tracking for the Rotating Table Testg at constant angular velocity. This task requires the robot to track the target object’s position and grasp it. In this work, we propose a camera-based online tracking system which works in real-time. Our approach is based on the YOLOv5 detection backbone and uses a novel, modified version of the S

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Evaluating Action-Based Temporal Planners Performance in the RoboCup Logistics Leagueproduction using AI methods. A way of addressing this is the use of temporal planning as it provides the ability to generate plans for complex goals while considering temporal aspects such as deadlines, concurrency, and durations. A drawback in applying such methods in dynamic environments is their

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Cyrus2D Base: Source Code Base for RoboCup 2D Soccer Simulation Leaguee coach compete against each other. Several base codes have been released for the RoboCup soccer simulation 2D (RCSS2D) community that have promoted the application of multi-agent and AI algorithms in this field. In this paper, we introduce “Cyrus2D Base”, which is derived from the base code of the

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