Automated robot systems that are able to navigate in remote and challenging environments like alpine regions can be a significant help for end users like mountain rescuer or constructors or maintainer of infrastructure (e.g. paths or installation for protection). Such robots can perform automated transport of materials, tools, and persons as well as the automated execution of construction or maintenance actions. Endurance and payload issues renders the deployment of ground robots more realistically. Two main issues arise when deploying such robots in remote and difficult terrain. First in contrast to humans, robots usually need a rather detailed map of their environment to perform navigation; deriving and executing an efficient and safe path to a given goal. In engineered environments like urban areas or highways such detailed maps are available. In remote or unstructured areas these maps need to be generated beforehand either by the robot itself or by other means like airborne systems. Secondly humans are capable to navigate in a challenging environment even with a less detailed map and a rough given route because of their superior perception and motion skills. Robots in contrast still need very detailed map and a high accuracy in their localization to perform challenging navigation task.
In order to allow a ground robot to navigate efficiently and safely in remote areas RoboNav will aim at three main goals:
Graz University of Technology – Institute of Software Technology (Lead)
Graz University of Technology – Institute of Geodesy (Working Group Remote Sensing and Photogrammetry)
This project is funded by the Austrian Promotion Agency (FFG) within the programme line "ASAP".