• Bathula Gangaprathap Yadav
• Dr. C. Gulzar

Cloud robotics represents a transformative paradigm that integrates robotic systems with the scalable resources of cloud computing to enhance intelligence, collaboration, and decision-making. This research focuses on leveraging cloud platforms for collaborative robot learning and navigation, enabling distributed robots to share knowledge, computational models, and sensory data in real time. By offloading heavy computations such as simultaneous localization and mapping (SLAM), path planning, and deep reinforcement learning to the cloud, robots with limited onboard resources can achieve higher efficiency and adaptability. The proposed framework emphasizes a cloud-enabled architecture that supports semantic data exchange, model sharing, and federated learning, allowing multiple robots to collectively learn from diverse environments while reducing individual training overhead. Furthermore, cloud-assisted navigation facilitates dynamic task allocation and coordinated mobility, particularly in mission-critical scenarios such as disaster response, healthcare, logistics, and smart manufacturing. Key research challenges—including latency, bandwidth constraints, security, and fault tolerance—are also addressed to ensure robust and reliable deployment. Simulation results and use-case evaluations highlight improvements in navigation accuracy, learning convergence, and multi-robot coordination, showcasing the potential of cloud robotics as a scalable and intelligent solution for next-generation autonomous systems.

Cloud Robotics, Collaborative Learning, Robot Navigation, Federated Learning, Multi-Robot Systems, Autonomous Systems.

"Cloud Robotics: Leveraging Cloud for Collaborative Robot Learning and Navigation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 8, page no.f488-f494, August-2025, Available :http://www.jetir.org/papers/JETIR2508566.pdf

"Cloud Robotics: Leveraging Cloud for Collaborative Robot Learning and Navigation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 8, page no. ppf488-f494, August-2025, Available at : http://www.jetir.org/papers/JETIR2508566.pdf