معرفی
Gaurav Pandey is an Associate Professor in the Department of Engineering Technology & Industrial Distribution at Texas A&M University. He holds affiliated faculty positions in Electrical & Computer Engineering and Mechanical Engineering. His research focuses on autonomous systems, reinforcement learning, sensor fusion, and mapping/localization. He earned a PhD in Electrical Engineering from the University of Michigan (2013) after completing degrees at IIT Roorkee (B-Tech, 2006).
Research interests include perception for autonomous vehicles, multi-agent motion prediction, and LiDAR-camera integration. He leads the Computer Vision & Robotics Lab, advancing navigation solutions for autonomous robots through deep learning and sensor fusion. Notable recognitions include IEEE Senior Member status (2020) and travel grants from IEEE IROS and AAAI. His work bridges theoretical machine learning with practical robotics applications.
- Education: PhD (2013), MS (2010) – University of Michigan
- B-Tech (2006) – IIT Roorkee
Recent research trends emphasize infrastructure-enabled navigation systems and LiDAR intensity simulation. His lab collaborates with industry leaders like Ford, focusing on seasonal dataset development and sensor calibration. Active in both academic publishing and real-world robotics implementation, his work addresses challenges in autonomous system decision-making under uncertainty.
- Labs: Computer Vision & Robotics Lab at Texas A&M
- Key Collaborations: Ford Motor Company
