Soubagya Nayak

Papers

1

Total Citations

7

H-Index

1

About

Soubagya Nayak is a researcher at the forefront of human-computer interaction (HCI), with a particular focus on gesture-controlled robotics and embedded systems. His most-cited work, "Development of Gesture Controlled Robot Using 3-Axis Accelerometer" (2016, 7 citations), addresses a critical challenge in modern HCI: moving beyond traditional mouse-and-keyboard interfaces. Nayak’s contribution lies in designing an intuitive, accelerometer-based system that translates natural hand gestures into robotic commands, making technology more accessible and efficient. This work highlights his commitment to bridging the gap between human intent and machine response, a key area in the broader diffusion of artificial intelligence and computational innovations. While his citation count reflects an emerging career, the practical relevance of his research—particularly in assistive technology and automation—positions him as a promising voice in the field. Nayak’s achievements underscore a dedication to creating seamless, user-centric interfaces that reduce the tedium of conventional input methods, offering a glimpse into the future of more natural, responsive human-machine collaboration.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Development of Gesture Controlled Robot Using 3-Axis Accelerometer
7 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 2

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago