K.B. Shiva Kumar
Papers
1
Total Citations
10
H-Index
1
About
K.B. Shiva Kumar is a researcher specializing in human-computer interaction (HCI), gesture recognition, and robotic control systems. His work focuses on bridging the gap between intuitive human gestures and robotic manipulation, particularly through the use of advanced sensing technologies. His most-cited paper, "GeroSim: A simulation framework for gesture driven robotic arm control using Intel RealSense" (2016, 10 citations), introduces a novel simulation framework that leverages Intel RealSense technology to enable gesture-based control of robotic arms. This contribution is significant for its potential to make robotic systems more accessible and user-friendly, especially in automation and assistive technologies. By integrating real-time hand and head tracking with gesture recognition, Shiva Kumar's work demonstrates a practical pathway toward more immersive and natural human-robot interaction. His research has implications for fields ranging from industrial automation to rehabilitation robotics, and his framework serves as a foundational tool for further exploration in gesture-driven control systems. With a focus on innovation and usability, K.B. Shiva Kumar continues to contribute to the evolving landscape of HCI and robotics.
Research Focus
Key Achievements
Top Papers
- 1