A.E. Puchkov
Papers
2
Total Citations
8
H-Index
2
About
A.E. Puchkov is a researcher at the intersection of robotics, computer vision, and sustainable transportation, with a focused expertise in automating electric vehicle (EV) charging systems. His work addresses a critical bottleneck in the adoption of self-driving and eco-friendly vehicles: the need for fully autonomous, human-free charging. Puchkov’s major contributions include developing a deep learning-based keypoint detector for precise pose estimation during robotic plug-in tasks, a method that leverages auto-annotation to overcome the challenge of limited training data. He also introduced "OmniCharger," a novel CNN-based hand gesture interface that allows operators to control a charging robot remotely via teleconference, blending intuitive human-robot interaction with advanced visual recognition. Though emerging, his work has already garnered citations (4 each for his key 2024 papers), signaling growing interest in his practical, application-driven approach. By tackling the real-world complexities of aligning a robotic arm with a vehicle’s charging port and enabling remote operation, Puchkov is helping to bridge the gap between autonomous driving and fully automated energy logistics, making him a notable voice in the future of smart EV infrastructure.
Research Focus
Key Achievements
Top Papers
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- 2