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ArmNavigation/two_joint_arm_to_point_control/two_joint_arm_to_point_control.py

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Author: Daniel Ingram (daniel-s-ingram)
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Atsushi Sakai (@Atsushi_twi)
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Ref: P. I. Corke, "Robotics, Vision & Control", Springer 2017, ISBN 978-3-319-54413-7 p102
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- [Robotics, Vision and Control \| SpringerLink](https://link.springer.com/book/10.1007/978-3-642-20144-8)
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"""
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import matplotlib.pyplot as plt

README.md

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Python codes for robotics algorithm.
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# Table of Contents
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* [What is this?](#what-is-this)
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* [Requirements](#requirements)
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Features:
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1. Widely used and practical algorithms are selected.
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1. Easy to read for understanding each algorithm's basic idea.
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2. Widely used and practical algorithms are selected.
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2. Minimum dependency.
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3. Minimum dependency.
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3. Easy to read for understanding each algorithm's basic idea.
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# Requirements
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Two joint arm to a point control simulation.
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This is a interactive simulation.
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You can set the goal position of the end effector with left-click on the ploting area.
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![3](https://github.com/AtsushiSakai/PythonRobotics/raw/master/ArmNavigation/two_joint_arm_to_point_control/animation.gif)
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Ref:
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- [P. I. Corke, "Robotics, Vision and Control" \| SpringerLink p102](https://link.springer.com/book/10.1007/978-3-642-20144-8)
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# License
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- [Alexis Paques](https://github.com/AlexisTM)
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