Kshitij Chhabra

Birla Institute of Technology and Science, Pilani - Goa Campus

Papers

Total Citations

H-Index

About

Kshitij Chhabra is a researcher at the forefront of human-drone interaction and brain-computer interfaces (BCI), with a focus on making autonomous systems more intuitive and accessible. His most cited work, "BCI Controlled Quadcopter Using SVM and Recursive LSE Implemented on ROS" (2020), introduces a groundbreaking method for non-invasive control of drones using neural signals. By combining Support Vector Machines (SVM) with recursive least squares estimation (LSE) on the Robot Operating System (ROS), Chhabra demonstrates how brainwave patterns can be translated into real-time flight commands, eliminating the need for physical controllers. This research, garnering 9 citations, addresses a critical gap in human-drone interaction (HDI), paving the way for assistive technologies that empower individuals with motor impairments. Chhabra’s work bridges machine learning, robotics, and neuroscience, offering a scalable framework for seamless integration of drones into daily life. His contributions highlight the potential of BCI-driven systems to revolutionize fields from search-and-rescue to personal mobility, establishing him as an innovator in next-generation human-machine interfaces.