Pybullet Industrial

Goal

The goal of the Pybullet_industrial project is to enable scientists and researchers to easily simulate robotics scenarios where a robot is participating in a manufacturing process. It aims to combine the world of classical robot simulations with the world of industrial processes, providing a powerful tool for testing and validating designs in a realistic and efficient way.

Problem/Complication

One of the major challenges in simulating robotics scenarios in a manufacturing process is the complexity of incorporating various industrial processes and tools into existing multi body simulations. Additionally, simulating the interactions between the robot and workpieces, as well as the forces generated during the manufacturing process, can be difficult to accurately represent.

Contribution

The Pybullet_industrial project addresses these challenges by providing a library that is capable of simulating different manufacturing tools and workpieces, as well as the robot itself. The library is built on the Pybullet physics engine, which is known for its high-performance and accuracy. The package also provides a user-friendly interface that allows researchers with different backgrounds and skill levels to use the simulation easily. Its main architecture was devised by me and the implementation was aided by colleagues as well as students I supervised.

Result

he Pybullet_industrial project has been successful in providing a powerful and user-friendly tool for simulating robotics scenarios in a manufacturing process. With the help of this library, researchers and colleagues as the wbk Institute of production science are now testing their designs in a realistic and efficient way. The simulation results provide valuable insights into the interactions between robots and industrial processes, and can be used to improve the design and performance of robots in manufacturing environments. It should be noted that the project is still ongoing and we are steadily expanding its capabilities. This not only includes the simulation performance but also the provided interfaces.

What I learned

Through the development of the Pybullet_industrial project, I gained valuable experience in modeling production processes and simulating the interactions between robots and industrial tools. I learned about the various challenges and considerations that go into creating realistic and accurate simulations of these scenarios. I also had the opportunity to work closely with colleagues and students working in process simulation, who helped me develop a better understanding of the complexities involved in simulating production processes.