Electric Vehicle Automatic Charging System Based on Vision-force Fusion
Dashun Guo, Liang Xie, Hongxiang Yu, Yue Wang, Rong Xiong

TL;DR
This paper presents a comprehensive automatic electric vehicle charging system that combines vision and force sensing for perception, planning, and control, successfully transferring from simulation to real-world application.
Contribution
It introduces a novel vision-force fusion approach for autonomous EV charging, integrating perception, planning, and control in a complete system.
Findings
System designed and tested in simulation and real-world
Experimental results demonstrate system effectiveness
Successful transfer from simulation to real environment
Abstract
Electric vehicles are an emerging means of transportation with environmental friendliness. The automatic charging is a hot topic in this field that is full of challenges. We introduce a complete automatic charging system based on vision-force fusion, which includes perception, planning and control for robot manipulations of the system. We design the whole system in simulation and transfer it to the real world. The experimental results prove the effectiveness of our system.
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Taxonomy
TopicsElectric Vehicles and Infrastructure · Robotic Path Planning Algorithms · IoT-based Smart Home Systems
