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This study explores robot navigation algorithms for dynamic environments within smart cities. The review focuses on the application of AI and machine learning to optimize path planning, obstacle avoidance, and real-time adjustments, contributing to the efficiency of autonomous robots in urban settings.
Arvind Kumar Sharma, Li Xian Zhang, Priya Rani Bansal, Michael Robert Johnson, Sofia Elena Garcia
Paper ID: 52119201 | ✅ Access Request |
This paper examines the integration of autonomous robots with AI-driven sensor networks to improve disaster management. Focusing on real-time data collection and autonomous decision-making, it highlights how these technologies enhance disaster response, improve safety, and reduce human intervention in hazardous environments.
Elena Maria Rossi, Carlos Alberto Hernandez, Zhang Wei Ming, Jessica Claire Turner, William David Cole
Paper ID: 52119202 | ✅ Access Request |
This paper presents the integration of artificial intelligence and robotics to enhance precision in high-volume production lines. By utilizing machine learning algorithms and robotic automation, the study shows how AI-assisted precision robotics optimize production rates, reduce waste, and improve product quality in industrial environments.
John Christopher Davis, Maxime Lucienne Blanchet, Wei Zhang, Maria Elena Cruz, Richard James Morgan
Paper ID: 52119203 | ✅ Access Request |
This research examines the intersection of blockchain and robotics in healthcare systems. The study explores how blockchain can secure patient data, while AI-powered robots enhance medical supply chains, improving efficiency and transparency in hospitals and healthcare settings while ensuring compliance with privacy standards.
Li Ming Wei, Emily Grace Thompson, Chen Jianghai, Martin Anthony Clark, Maria Cristina Vasquez
Paper ID: 52119204 | ✅ Access Request |
This paper explores the use of advanced robotics in space exploration, specifically focusing on autonomous rover navigation on Mars. The study investigates AI techniques such as deep learning and reinforcement learning to enable real-time decision-making, improving the rover’s ability to navigate complex Martian terrains autonomously.
Antonio Carlos Gomez, William Peter Ellis, Jianguo Zhang, Helena Marie Roberts, John Edward Turner
Paper ID: 52119205 | ✅ Access Request |
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