This page is devoted to the Python programming language, including references to tutorials and particular, use of Python in programming robot control systems.
A Python Library Devoted to Robotics#
This is a Python code collection of robotics algorithms.
- Easy to read for understanding each algorithm's basic idea.
- Widely used and practical algorithms are selected.
- Minimum dependency.
See: Python Robotics by Atsushi Sakai
How to Have Pip3 Install a Module to a Specific Python Version#
'nuff said (in the title):
python3.8 -m pip install foo
- gpiozero, a simple interface to everyday GPIO components used with Raspberry Pi. Installed on Raspbian by default; to install on other OS use: pip3 install gpiozero
- igraph is a collection of network analysis tools with the emphasis on efficiency, portability and ease of use
- NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Also see networkx on github.
- Support for various Pimoroni Breakout Garden boards as MicroPython modules
Multi-Threading and Multi-Processing in Python#
- Python - Multithreaded Programming (TutorialsPoint)
- Threading — Thread-based parallelism (Python documentation)
- An Intro to Threading in Python (Real Python)
- How can I use threading in Python? on StackOverflow
- Parallelism in One Line (multiprocessing in Python, how to avoid boilerplate producer-consumer-queueing code by injecting parallelism into the code using Map, a functional programming concept)
- Multithreading vs Multiprocessing in Python on the Noteworthy blog
- PyRobot, an Open Source Robotics Research Platform
- Python home page
- Python Module Index
- Multi-threading vs multi-processing
- asyncio implementation on MicroPython (uasyncio)
- Module Support Matrix - Which Modules Are Available on Which Boards (by customising the URL you can change the highlighting)
- Pybotics, The Python Toolbox for Robotics
- Robot Framework, a generic open source automation framework. It can be used for test automation and robotic process automation (RPA).
- Python 101: Redirecting stdout
Below are some rough notes. This needs to be edited into proper wiki text and links.
Arduino-Powered Robot Solves a Maze Using Subsumption Architecture in C http://www.codingnaked.com/post/arduino-powered-robot-solves-a-maze-using-subsumption-architecture-in-c/ check out: http://www.soerenwalls.com/ who built the robot and wrote the above article On Simple Reactive Neural Networks for Behaviour-Based Reinforcement Learning by Ameya Pore and Gerardo Aragon-Camarasa (Python) https://github.com/cvas-ug/simple-reactive-nn A subsumption-architecture based robot built using the lejos ev3 API. (Java) https://github.com/GitPaulo/lego-robot-A1 Robot Subsumption Controller (alexander-svendsen/ev3-python on github) https://github.com/alexander-svendsen/ev3-python Lab 7: Subsumption architecture, Due April 16 https://www.cs.swarthmore.edu/~meeden/cs63/s15/subsumption.html Playful: Reactive Programming for Orchestrating Robotic Behavior https://www.researchgate.net/publication/325077049_Playful_Reactive_Programming_for_Orchestrating_Robotic_Behavior source: Lisa Meeden, Neil R. Grabois Professor in Natural Sciences and Engineering and Department Chair Swarthmore College, PA https://www.cs.swarthmore.edu/~meeden/ A Developmental Robotics Manifest (Blank, Marshall, Meeden) https://www.cs.swarthmore.edu/~meeden/papers/Manifesto2017.pdf Towards Planning: Incremental Investigations into Adaptive Robot Control Lisa A. Meeden, doctoral thesis https://www.cs.swarthmore.edu/~meeden/papers/meeden.thesis.pdf Emergent Control and Planning in an Autonomous Vehicle Appeared in Proceedings of the Fifteenth Annual Conference of the Cognitive Science Society Lisa Meeden and Gary McGraw and Douglas Blank https://www.cs.swarthmore.edu/~meeden/papers/meeden.cogsci93.pdf which references: https://www.cs.swarthmore.edu/~meeden/cs63/s15/pyrobot.php which references: CS63 Artificial Intelligence Spring 2015 https://www.cs.swarthmore.edu/~meeden/cs63/s15/index.php which references online book: Artificial Intelligence: A Modern Approach http://aima.cs.berkeley.edu/ (online ToC of book, with related resources) https://www.pearsonhighered.com/assets/preface/0/1/3/6/0136042597.pdf (ToC) https://www.cin.ufpe.br/~tfl2/artificial-intelligence-modern-approach.9780131038059.25368.pdf (1995 edition, scanned full text) p.411 subsumption architecture, also discussed in Chapter 25 online code repository: http://aima.cs.berkeley.edu/code.html AIMA Python implementations (with an index of algorithms on that page) https://github.com/aimacode/aima-python