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Abstract
The rapid evolution of robotics is reshaping the landscape of personal transportation, driving a paradigm shift toward safer, smarter, and more efficient mobility solutions. As autonomous systems become increasingly sophisticated, robots are transitioning from industrial and service environments into everyday transportation platforms. Autonomous vehicles, delivery robots, intelligent drones, and robotic personal mobility devices demonstrate how robotics can enhance convenience while reducing human error, a major cause of road accidents. Integration of advanced sensors, machine learning algorithms, and real-time decision-making capabilities enables robotic transportation systems to navigate complex environments with minimal human intervention. Moreover, robotics supports sustainable transportation by optimizing energy use, reducing congestion through coordinated traffic flow, and enabling compact mobility solutions such as self-balancing scooters and robotic wheelchairs. The rise of connected vehicle ecosystems further amplifies these benefits, allowing robots and vehicles to communicate seamlessly with infrastructure and one another. Despite these advancements, challenges remain—including regulatory frameworks, ethical considerations, cyber security risks, and the need for robust public acceptance of autonomous technologies. Looking ahead, the convergence of robotics with artificial intelligence, 5G connectivity, and smart city initiatives will accelerate the deployment of personalized, autonomous transportation options. These innovations promise not only improved mobility but also greater accessibility for individuals with disabilities, reduced environmental impact, and enhanced quality of urban life. Ultimately, robotics is poised to transform personal transportation into a more intelligent, adaptive, and sustainable system, redefining how people move within both urban and rural environments.
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