Papers
3
Total Citations
20
H-Index
2
About
Edwar Yazid is a rising researcher at the intersection of electric vehicle (EV) infrastructure and autonomous mobility. His primary research areas center on robotic automation for EV charging and real-time perception for autonomous robots. Yazid’s most significant contribution is his pioneering work on robotic charging systems, as detailed in his highly cited 2023 review, which has already garnered 13 citations—a strong indicator of its impact in a rapidly growing field. He has further advanced this domain through a 2024 study that characterizes the plugging and unplugging process of EV connectors using precise force/torque measurements, providing foundational data for developing safe and reliable automated charging arms. In parallel, Yazid has demonstrated practical engineering skill by implementing the Ultra Fast Lane Detection algorithm for real-time application on the SEATER (Single-passenger Electric Autonomous Transporter), a project that bridges computer vision and mobile robotics. This work, published in 2024, showcases his ability to translate complex learning-based algorithms into functional autonomous systems. With a focused trajectory on solving critical bottlenecks in EV adoption and autonomous navigation, Yazid is establishing himself as a key contributor to the future of intelligent transportation.
Research Focus
Key Achievements
Top Papers
- 1A review of robotic charging for electric vehicles13 citations · 2023
- 2
- 3Implementation of Real-Time Lane Detection on Autonomous Mobile Robot1 citations · 2024