The technology consist in an planning and programming algorithms developed to assign optimal tasks in complex scenarios, like could be robots with limited turning capabilities or those who have to deal with complex terrains.
It has been implemented in Planning & Scheduling demonstrators for autonomous robots, which includes integration of task and path planning and software environments to test autonomy.
- Shorter paths while performing scientific tasks in an efficient ordered way.
- Mathematical formulation for any digital terrain model, usable by heuristic search algorithms.
- Learn from experience: Generates candidate paths that are safer than the ones obtained by previous approaches.
- Other transport
- Unmanned vehicles
- Security & Safety
- Space System
- Software System
- Design & verification
- Mission operation and ground data systems