R. Gnana Praveen
Papers
3
Total Citations
15
H-Index
3
About
R. Gnana Praveen is an emerging researcher whose work spans the intersecting domains of robotics, computer vision, and affective computing. His research focuses on developing intelligent, human-centered systems that bridge the gap between human intuition and machine response. In one of his most recognized contributions, Praveen designed a gesture-controlled robot utilizing a three-axis accelerometer, replacing traditional button interfaces with natural hand movements — a paper that has garnered 8 citations since its 2019 publication. Building on his interest in human-machine interaction, his 2020 work on emotion recognition through Convolutional Neural Networks explores automated affective state detection, with applications spanning medical science and human-computer communication, earning 4 citations. His 2021 investigation into autonomous multifunctional mobile robots employing machine vision addresses critical limitations of conventional distance sensors, advancing the capability of robots to perform diverse tasks in both domestic and industrial settings. Collectively, Praveen's portfolio reflects a consistent drive to make machines more perceptive, adaptive, and responsive to human needs, positioning him as a promising contributor to the evolving landscape of intelligent robotics and machine learning research.
Research Focus
Key Achievements
Top Papers
- 1Hand Gesture Control Robot8 citations · 2019
- 2Emotion Recognition using Convolutional Neural Network4 citations · 2020
- 3