Venkata Siva Nageswararao T
Papers
1
Total Citations
2
H-Index
1
About
Venkata Siva Nageswararao T is a researcher at the intersection of human-computer interaction and artificial intelligence, with a primary focus on gesture-based control systems and deep learning applications in robotics. His most cited work, "Virtual Robotic Arm Control with Hand Gesture Recognition and Deep Learning Strategies" (2017), introduces an innovative approach to controlling virtual robotic arms through real-time hand gesture recognition, leveraging deep learning techniques to create portable, easily programmable systems that can replicate human hand functions. This research demonstrates how deep learning models can interpret complex hand movements and translate them into precise robotic actions, paving the way for more intuitive human-robot interfaces. With 2 citations, this foundational work has contributed to the growing field of assistive robotics and human-machine collaboration. Nageswararao T's research addresses critical challenges in making robotic systems more accessible and user-friendly, particularly for applications requiring remote manipulation or assistive technologies. His work represents an important step toward bridging the gap between human intent and machine execution, offering potential applications in manufacturing, healthcare, and rehabilitation.
Research Focus
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Top Papers
- 1