This page is devoted to the Python programming language, including references to tutorials and particular, use of Python in programming robot control systems.
See also: CircuitPython and MicroPython and Upgrading Python
A Python Library Devoted to Robotics#
This is a Python code collection of robotics algorithms.
Features:
- 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
Libraries#
- 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
Links#
- 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
Notes#
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