Sayantan Panda

Papers

Total Citations

H-Index

About

Sayantan Panda is a rising researcher at the forefront of autonomous systems and electric vehicle (EV) infrastructure, with a primary focus on robotic automation for sustainable transportation. His work centers on developing intelligent, vision-guided robotic platforms to eliminate the manual labor bottleneck in EV charging. Panda’s major contributions include the design of the AViTRoN framework—an advanced vision track routing and navigation system for automatic charging robots (ACRs)—which has already garnered 10 citations since its 2024 publication. He further advanced the field with an integrated YOLO-based control framework for autonomous EV charging robot platforms, achieving 4 citations in 2025. This work demonstrates a complete pipeline from robotic arm design to real-time object detection and precise navigation, ensuring compatibility across diverse EV models. Panda’s research directly addresses a critical gap in EV adoption: the low level of automation in charging procedures. By combining mechanical engineering with cutting-edge computer vision, his contributions promise to accelerate the deployment of fully autonomous charging stations, marking him as a key innovator in the intersection of robotics and green technology.