Using Modelica for advanced Multi-Body modelling in 3D graphical robotic simulators
Gianluca Bardaro, Luca Bascetta, Francesco Casella, Matteo Matteucci
- Year
- 2017
- Citations
- 9
- Access
- Open access
Abstract
This paper describes a framework to extend the 3D robotic simulation environment Gazebo, and similar ones, with enhanced, tailor-made, multi-body dynamics specified in the Modelica language. The body-to-body interaction models are written in Modelica, but they use the sophisticated collision detection capabilities of the Gazebo engine. This contribution is a first step toward the simulation of complex robotics systems integrating detailed physics modelling and realistic sensors such as lidar and cameras. A proof-of-concept implementation is described in the paper integrating Gazebo collider and the Modelica Multi-Body library, and the results obtained when simulating the interaction of an elastic sphere with a rigid plane are shown.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991