Mobile Robotics: A Comprehensive Analysis (Published)
Mobile robotics is a rapidly evolving field that integrates advanced AI algorithms, energy-efficient design, and robust sensor systems to enable autonomous movement and interaction within dynamic and unstructured environments. Unlike many existing reviews, this paper offers two unique contributions: first, a novel modular framework for scalable de-ployment across diverse applications (e.g., healthcare, manufac-turing, agriculture), and second, a set of detailed performance metrics validated through simulation and a pilot case study. By leveraging advanced navigation methods such as Simultaneous Localization and Mapping (SLAM) and enhanced sensor fusion, mobile robots can achieve precise autonomy and adaptability. Our results, drawn from both simulations and a real-world case study in an Automated Guided Vehicle (AGV) setup, indicate a 20% improvement in navigation accuracy and a 25% increase in battery efficiency. The paper also addresses ongoing challenges—energy constraints, real-time data processing, and costs—and proposes strategies like edge computing for reducing latency and the integration of solar power for extending operational duration. In conclusion, this manuscript emphasizes future trends such as swarm robotics, AI-driven adaptability, and bio-inspired design, reinforcing the transformative potential of mobile robots in reshaping operational standards across industries.
Keywords: Autonomous Systems, artificial intel-ligence (AI), mobile robotics, navigation techniques, simultaneous localization and mapping (SLAM), swarm robotics