szymciem8/AGV-Autonomous-Docking
Algorithm for autonomous docking of AGV platform.
This project provides an algorithm to precisely position an Autonomous Guided Vehicle (AGV) against a straight or L-shaped wall. It takes sensor data from Lidar or ToF sensors, along with desired alignment and distance, to output precise wheel control signals (PWM) for accurate docking. This is ideal for robotics engineers or automation specialists deploying AGVs in warehouses or manufacturing.
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Use this if you need to reliably and autonomously dock differential-drive robots with high precision to various wall types, ensuring correct alignment and distance.
Not ideal if your AGV uses a different drive mechanism (e.g., omni-directional wheels) or if you require docking to complex, non-linear structures.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Sep 22, 2022
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