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Robotics
BootLoop validates firmware, sensors, motor controllers, actuators, communications, and safety behavior on real hardware—giving robotics teams a deterministic path from component bring-up to complete system regression.
The problem
A robot can pass unit tests and still fail when timing, power, sensors, actuators, firmware, and mechanics interact. Physical tests are slow to set up, difficult to repeat, and often require manual supervision—leaving critical degraded states and field conditions untested until late in integration.
With BootLoop
BootLoop models the robot’s hardware, interfaces, requirements, and expected behavior, then orchestrates controllers, sensors, actuators, fixtures, and instruments as one test system. Teams can generate firmware and tests, introduce controlled faults, and reproduce the same physical sequence across every hardware and software revision.
Workflow
STEP 01
Model the robot and its interfaces
Bring in requirements, schematics, datasheets, protocols, and expected state transitions. BootLoop builds a hardware-aware foundation for understanding controllers, sensors, actuators, power systems, communications, and safety mechanisms.
STEP 02
Generate, integrate, and test on real hardware
Use the hardware-aware agent to generate or adapt drivers, device integrations, and test procedures. Exercise the real system with controlled sensor inputs, actuator conditions, communication failures, and power events while capturing measurable results.
STEP 03
Turn field failures into permanent coverage
Recreate failures from logs and observed behavior, validate the fix on real hardware, and preserve the scenario as a regression test. Reuse that coverage across firmware releases, robot configurations, and future hardware revisions.
Shared evidence across firmware, controls, and systems
Robotic failures rarely belong to one discipline. BootLoop gives firmware, controls, systems, safety, and test teams the same hardware context and execution evidence—making it easier to isolate failures and verify fixes without rebuilding the scenario from scratch.
One test definition across firmware, controls, and system integration
Controlled validation of faults, degraded states, and recovery behavior
Field failures become regression coverage across the fleet
Field note
If a robot can fail in the field, your team should be able to reproduce it in the lab.
Built for robotics teams
Robotic systems
Sensor-to-actuator validation
Repeatable degraded-state testing
Regression coverage across the fleet
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