Bandhan Chandra Das

Papers

Total Citations

H-Index

About

Bandhan Chandra Das is a researcher at the forefront of human-robot interaction, with a specialized focus on gesture-based control systems. His most-cited work, "3D Gesture Recognition and Adaptation for Human–Robot Interaction" (2022, 15 citations), addresses a critical challenge in robotics: creating gesture detection systems that remain robust against variations in lighting and background environments. By proposing an adaptive 3D gesture recognition framework, Das has contributed to making human-robot communication more intuitive and reliable in real-world settings. His research bridges computer vision and robotics, aiming to enhance the naturalness of human-machine collaboration. With his work gaining traction in the academic community, Das is establishing himself as an emerging voice in adaptive interaction technologies. His contributions are particularly relevant for applications in assistive robotics, manufacturing, and smart environments, where seamless and resilient gesture interfaces are essential for practical deployment.