Deepti Sharma
Papers
1
Total Citations
14
H-Index
1
About
Deepti Sharma is a leading researcher at the intersection of the Internet of Things (IoT), artificial intelligence, and robotics, where she explores how intelligent systems can be seamlessly integrated to solve real-world challenges. Her most-cited work, "IoT-Aided Robotics Development and Applications with AI" (2021), has garnered 14 citations and serves as a foundational reference for scholars and engineers working on autonomous, sensor-driven robotic platforms. In this influential paper, Sharma systematically examines how IoT-enabled sensors and AI algorithms can enhance robotic perception, decision-making, and adaptability across domains such as smart manufacturing, healthcare, and environmental monitoring. Her contributions are particularly notable for bridging the gap between theoretical frameworks and practical implementations, offering a roadmap for developing cost-effective, scalable robotic systems that leverage cloud connectivity and edge computing. Beyond this key publication, Sharma’s research continues to shape the next generation of intelligent automation, making her work essential reading for students and researchers interested in the convergence of IoT and robotics. Her clear, application-oriented approach has established her as a respected voice in the field, inspiring further innovation in AI-driven robotic ecosystems.
Research Focus
Key Achievements
Top Papers
- 1IoT-Aided Robotics Development and Applications with AI14 citations · 2021