Case Study: Angsa Robotics boosts autonomous trash picking efficiency by 240% with Swift Navigation Skylark

Angsa Robotics Uses Swift to Increase Efficiency of Autonomous Trash Picking Robots

Angsa Robotics, a company based in Munich, Germany, faced the challenge of maintaining cleanliness in parks and urban spaces with labor-intensive and inefficient traditional methods. To build effective autonomous trash-picking robots, they needed precise navigation technology to operate safely within boundaries and avoid hazards. They turned to vendor Swift Navigation for a solution using its Skylark Precise Positioning Service.

By implementing Swift's Skylark service, Angsa Robotics achieved a significant improvement in the performance of its robots. The solution provided the precise positioning needed for reliable geofencing and navigation, which resulted in a 240% increase in efficiency compared to standard GNSS systems. This allowed the company to optimize cleaning strategies and maintain safer, cleaner urban environments.

Angsa Robotics

Lukas Wiesmeier

Co-Founder