Intelligent Machines
Software at the boundary of perception and control.
Robotics, remote operation and fleet intelligence for logistics, manufacturing, infrastructure and research.
The operating problem.
A useful robot must make its intent legible and its failures recoverable.
Engineering approach
Develop observable control interfaces and scenario-based evaluation. Define human override and safe behavior before autonomy scope expands.
- Perception
- Control interfaces
- Remote operation
- Fleet management
- Fault monitoring
- Robot simulation
SYSTEM ARCHITECTURE / FLEET
Sensing → networking → compute → intelligence → human decision
Interactive model loads as you approach. The engineering scope and constraints are provided in the page text.
Define the mission
Bring the hard problem.
Start with the operating environment, the constraints and the decision your system needs to support.