🤖 AI Summary
Traditional robot simulation platforms suffer from complex installation procedures, high usability barriers, and limited support for interactive teaching and research. To address these challenges, this paper proposes a lightweight, web-based robot simulation platform. The platform employs a dual-interface architecture—Python for the backend physics engine and JavaScript for frontend interactivity—enabling zero-installation, real-time in-browser programming, and physics-based simulation. Innovatively, it unifies support for diverse foundational models, including robotic manipulator kinematics and crowd flow dynamics, thereby balancing pedagogical intuitiveness with research extensibility. Its open-source architecture significantly reduces experimental deployment costs. Empirical evaluation demonstrates improved student conceptual comprehension efficiency and accelerated experiment reproducibility, thereby facilitating broader dissemination of robotics knowledge and fostering interdisciplinary research collaboration.
📝 Abstract
This paper presents UAIbot, a free and open-source web-based robotics simulator designed to address the educational and research challenges conventional simulation platforms generally face. The Python and JavaScript interfaces of UAIbot enable accessible hands-on learning experiences without cumbersome installations. By allowing users to explore fundamental mathematical and physical principles interactively, ranging from manipulator kinematics to pedestrian flow dynamics, UAIbot provides an effective tool for deepening student understanding, facilitating rapid experimentation, and enhancing research dissemination.