Hey ROS Community,
after 3 years of prototyping based on awesome ROS tooling and learning from the best in the Autoware.auto AVP we are happy to launch the product pre-release of AMPS - Assisted Maneuvering and Positioning System. Hardware and software is engineered at the Deutsche Post Innovation Center Avantis by the department of Autonomous Logistics.
Longtime testing at DPDHL parcel centers and our prototyping test track “Avantis” has enabled us to do the industrialization of a ROS based automated system moving up to 30 tons with a precision < 3 cm. AMPS controls the steering of the system while the driver is still in charge of the acceleration. This creates a worldwide unique logistic system linked to the yard logistic control station. Thanks to ROS our system is modular and adaptable to different kinds of vehicles.
We also want to thank IFA ( Institute for Occupational Safety and Health of the German Social Accident Insurance ) for creating the safety concept with us.
Since we want to give back to the ROS community, we were bug fixing multiple packages in the past on the official repositories. Our extension of the BehaviorTree.CPP framework is released open source.
At this point we want to thank all the great people in this community that supported us over many years:
- Ternaris for creating database tooling called marv-robotics
- SICK for providing sensor interfaces and other safety related support.
- Autoware, Apex.ai and the ROS2 community for showing us how to scale for higher levels of automation
- Silexica for giving us the right tooling to debug complex robotic products
- The MASCOR Institute from FH Aachen providing us with highly trained ROS engineers and creating the first ROS Summer School worldwide
We also want to thanks the rviz_cinematographer project for making great videos possible in rviz:
This publication belongs to the today finished BMWi funding project “3F” of the german government (Fahrerlose und fehlertolerante Fahrzeuge / Driverless and fault-tolerant vehicles)."