evoBOT Simulation Model

evoBOT from Fraunhofer Institute for Material Flow and Logistics (IML) is a highly dynamic and autonomous mobile robot. It can transport objects with up to 40kg at a travel speed of up to 10m/s. The evoBOT Simulation Model tries to match the real vehicle as close as possible and offers similar dynamics and sensor data. The simulation approach can reduce development times. First, prototypes can be tested in digital reality before they are built. Second, hardware and software development can be decoupled in this way. Details about evoBOT itself, the simulation model, its usage, and potential use cases can be found in the documentation.

Setup

The requirements and installation of the evoBOT simulation model are described in chapter 2 and chapter 3 of the documentation.

Usage

The usage of the evoBOT model by controlling it via ROS or Isaac Gym is described in chapter 4.

License

See the license file in the top directory.

Resources

Related GTC Talks

• GTC Spring 2024: Next-Generation Robotics: Training Agile Loco-Manipulation and Human-Machine Interaction
• GTC Spring 2023: Training Highly Dynamic Robots for Complex Tasks in Industrial Applications
• GTC Spring 2022: Towards a Digital Reality in Logistics Automation: Optimization of Sim-to-Real

Related Publications

• CORL 2024: Action Space Design in Reinforcement Learning for Robot Motor Skills
• IROS 2023: evoBOT – Design and Learning-Based Control of a Two-Wheeled Compound Inverted Pendulum Robot
• RAM 2022: Guided Reinforcement Learning: A Review and Evaluation for Efficient and Effective Real-World Robotics

Contact information

Maintainer:

• Julian Eßer julian.esser@iml.fraunhofer.de

Development Team:

• Frido Feldmeier frido.feldmeier@iml.fraunhofer.de
• Renato Gasoto rgasoto@nvidia.com