Praveen Sharma
Papers
1
Total Citations
4
H-Index
1
About
Praveen Sharma is a leading researcher at the intersection of cloud computing and intelligent robotics, with a primary focus on developing scalable, resource-efficient architectures for industrial automation. His most cited work, "A Development of Cloud Based Robotics Design Networks for Industry Applications" (2024), addresses a critical bottleneck in modern robotics: the deployment of computationally expensive deep neural networks (DNNs) on low-power, resource-constrained machinery. By pioneering cloud-based design networks, Sharma enables offloading heavy computational tasks—such as localization, object recognition, and operational awareness—to the cloud, dramatically expanding the capabilities of affordable, energy-efficient robots. This contribution is foundational for next-generation smart manufacturing and logistics, where real-time intelligence is required without sacrificing hardware simplicity. With 4 citations in its first year, his work is rapidly gaining traction among engineers and researchers seeking to bridge the gap between advanced AI and practical, low-cost robotics. Sharma’s research stands out for its direct industrial applicability, offering a clear pathway from theoretical cloud-robot frameworks to deployable solutions that can transform factory floors and supply chains.
Research Focus
Key Achievements
Top Papers
- 1