Capability03.07Systems
Robotics & Physical AI
Intelligence with a body: perception, planning and control for machines that work in the real world.
A physical system cannot be patched after the fact, so in robotics AI we design perception, planning and control together, test the cell in simulation before hardware is bought, and give the operators who supervise it an interface that shows what the machine perceives and why it acts.
Point to set a target. Show the workspace to see what the arm can reach.
Live view is off on this device.
Includes
- Robot perception and manipulation
- Vision-guided inspection and pick-and-place cells
- Simulation and digital twins before hardware is bought
- Human-machine interfaces for supervising robots
- Edge deployment on constrained hardware
Applications
- Vision-guided picking of variable parts
- Simulating a robotic cell to test layout and cycle logic before purchase
- Operator consoles that show what a robot perceives and why it acts
Under the hood
- Inverse kinematics and motion planning
- Grasp planning from depth and point clouds
- Hand–eye calibration
- Physics-based simulation and digital twins
- ROS 2 integration
- Safety-rated stops and supervised operation
How we test it
Every cell is tested in simulation first, against the layouts, cycle logic and part variants it will meet, before any hardware is committed. On site it runs supervised and in stages, and pick success, cycle stability and safe-stop behaviour are measured before it works on its own.
Have something like this in mind?
Bring the problem in its messiest form. Measuring it is our job. We’ll tell you honestly whether AI is the right way to solve it.