SOLUTION 04 · Robotics R&D and integration teams
Robot Development, Debugging & Monitoring
Connect internal buses in robot arms, mobile robots, or production equipment; visualize state in BUSMASTER, use BMCLI and CANopen to bring AI into live diagnosis, and build focused monitoring or control applications with BMAPI.
PROBLEM
What must be solved?
Robotics teams need to correlate software behavior with drives, sensors, actuators, and controllers on the physical bus without repeatedly building one-off diagnostic tools.
WORKFLOW
Four steps close the engineering loop.
Move from bus visibility to intelligent closed-loop debugging
- 01
Connect BUSMUST hardware to CAN FD, CAN, or LIN networks inside the robot or machine
- 02
Observe messages and decoded state in BUSMASTER during bring-up
- 03
Let AI inspect signals, diagnostics, and system responses through BMCLI
- 04
Build a dedicated monitoring, calibration, or control application with BMAPI when the workflow matures
The solution focuses on bus access, debugging, diagnosis, and monitoring; functional safety and motion-control authority remain with the robot system design.
RECOMMENDED STACK
Recommended software, hardware, and next steps.
BUSMASTER
Observe internal robot buses and signals during bring-up, integration, and field troubleshooting.
View details →BMCLI + AI
Let AI inspect signals, run diagnostics, and continuously validate real hardware state.
View details →BMAPI SDK
Build maintainable status monitoring, calibration, and purpose-built debugging tools.
View details →TALK TO BUSMUST
Confirm the stack for your channels, protocols, and workflow.
Tell us the target device, bus types, and required task. Our sales and support teams will help define the next step.