python for robotics

Python is the most popular language which is extensively used by emerging tech developers and robotics researchers. In robotics, the programming language has become a vital part of the robot operating system (ROS) and is used for designing these embedded systems. Python for robotics can be used for effective programming purposes.

For Example, the embedded systems and exhaustive automation packages of Raspberry Pi and Arduino are also designed using this language.

Top 10 libraries of Python for robotics:-


1) Siconos:-

Siconos is an open-source scientific software which primarily targets at modeling and simulating nonsmooth dynamical systems.

  • Written in:- C++ and Python
  • This software package can be used for modeling and simulation of dynamic systems.

2) iDynTree:-

IDynTree library is of robot dynamics algorithms which are used for control, estimation, and simulation.

  • Written in:- C++, Python, MATLAB.
  • To use the Python language library, you need to add the PYTHONPATH environment variable to the install path of the iDynTree.py file.

3) Pybotics:-

Pybotics is an open-source toolbox for robot kinematics and calibration. It is designed to provide simple, easy to understand, and particular it can be used to quickly simulate and evaluate common robot concepts, like kinematics, dynamics, trajectory generations, and calibration.

4) Klamp’t:-

  • Klamp’t is an open-source, cross-platform software package.
  • It is used for Robot modeling, simulating, planning, optimization, and visualization.
  • The aim of the library is to provide an accessible, wide range of programming tools for learning robotics, analyzing robots, developing algorithms, and prototyping intelligent behaviors.

5)Simulation Open Framework Architecture:-

  • Simulation Open Framework Architecture is an open-source library and an efficient framework purposely used for research, prototyping, and development of physics-based simulations. It mostly focuses on real-time simulation, with an emphasis on medical simulation.
  • It allows in the creation of complex and evolving simulations by combining new algorithms with existing algorithms and synthesis of complex models from simpler ones using a scene-graph description, among others.

6) PyDy:-

  • PyDy is a tool kit written in Python that utilizes an array of scientific programs to enable the study of multibody dynamics.
  • The toolkit helps a user to perform visualization, model specification, simulation, benchmarking, among others, in their workflows.

7) PyRobot:-

  • PyRobot is another Python library for benchmarking and running experiments in robot learning.
  • It is an Addition of two popular Python libraries, those are:-
    1) Requests and
    2) BeautifulSoup.
  • It is also or can also help to drive applications that don’t provide an API or any way of hooking into them programmatically. This library will also help to run robots without dealing with the robot-specific software and enabling better comparisons.

8) DART:-

  • DART  is an open-source library that provides data structures and algorithms for kinematic and dynamic applications in robotics and computer animation. The library is distinguished by accuracy/stability because it uses generalized coordinates.
  • The library was created by Graphics Lab and Humanoid Robotics Lab at the Georgia Institute of Technology with ongoing contributions from the Personal Robotics Lab at the University of Washington and Open Source Robotics Foundation.

9) Pyro:-

  • Pyro is a library that enables you to build applications where objects can talk to each other over a network, with minimal programming effort.
  • This toolbox works between different system architectures and operating systems. It provides a set of powerful features that enables you to build distributed applications rapidly and effortlessly.

10) Robot Framework:-

  • Robot Framework is an open-source automation framework for acceptance testing, acceptance test-driven development (ATDD), and robotic process automation (RPA).
  •  It’s done on Python – it supports both Python 2 and Python 3 and also runs also on Jython (JVM), IronPython (.NET), and PyPy.
  • Robot Framework is open and extensible and can be integrated with virtually any other tool to create powerful and flexible automation solutions.

Hope you enjoyed this article. Be sure to check out other articles too on the Towards robotics community channel.



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