Papers
1
Total Citations
9
H-Index
1
About
Dr. Veeky Baths is a pioneering researcher at the intersection of neuroscience, artificial intelligence, and robotics, with a primary focus on non-invasive Brain-Computer Interfaces (BCIs) and Human-Drone Interaction (HDI). His most cited work, "BCI Controlled Quadcopter Using SVM and Recursive LSE Implemented on ROS" (2020), introduces a groundbreaking approach to controlling drones through thought alone. By integrating Support Vector Machines (SVM) with recursive least squares estimation (LSE) on the Robot Operating System (ROS), Baths demonstrated how neural signals can be translated into real-time quadcopter commands, advancing seamless human-drone integration. This work, garnering 9 citations, exemplifies his broader contributions to making autonomous systems more intuitive and accessible. Dr. Baths’ research bridges cognitive science and engineering, offering novel pathways for assistive technologies and human-robot collaboration. His innovative fusion of machine learning and robotics continues to inspire students and researchers exploring the frontiers of BCI-driven control, positioning him as a key figure in the evolution of intelligent, human-centered autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1BCI Controlled Quadcopter Using SVM and Recursive LSE Implemented on ROS9 citations · 2020