Hyper-teaming autonomous onboard active perception
Mission-command using tactical-task syntax (as for humans), translated to temporal-logic
Two-way communication/updates based on task, context and need
Decentralised coordinated behaviour
Dynamic reassignment of robots as needed to meet goals
On-board simulation/ projection to augment direct observations and guide decision-making
On-line sensing, decision-making and control, to maintain and act on a common-operating-picture
Real-world verification with (experimental) robotic platforms and human participants
SeaWolf XLUUV autonomy architecture
Mission Systems’ autonomy Architecture is based on the recommendations of the US Navy Unmanned Maritime Systems Program Office (PMS-406) while leveraging the most recent developments in MIT’s MOOS-IvP multi-objective helm. It will be interoperable with US systems.
Our autonomy architecture is environment-centric, with embedded acoustic modelling enabling real-time passive and active sonar performance predictions to directly optimise the detection and tracking of surface and underwater contacts by individual vehicles and swarms.
In-flight planning and re-planning for AMSL EVTOL air taxi
Providing bespoke autonomy to a passenger-carrying autonomous CASEVAC variant of the AMSL Vertiia EVTOL aircraft. This includes automated take-off and landing, static and dynamic obstacle detection and avoidance, and GPS-denied operation.