Test the signals
Design repeatable evaluation for robotic sensing hardware and sensor pipelines under defined conditions.
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Robotics startup · development community
Robotics testing. Made repeatable.
House of Hackers is a robotics startup and development community focused on custom tests, repeatable benchmarks and data workflows for robotic sensors, robot software and physical AI.
SensorsRobot softwarePhysical-AI data
What we build
Custom-made ways to test robotic systems — and reusable tools, protocols and data workflows that help developers understand how their systems perform.
01 / Development areas
One test layer across sensors, software and physical AI.
Robotic performance depends on the whole system: sensors, code, models, data and operating conditions. We develop custom tests around the engineering question a team needs to answer.
Test system behavior
Create task-specific tests for robot software, perception and AI behavior. Compare results across scenarios, versions and operating conditions.
Make data useful
Develop workflows for capturing, organizing and evaluating robotic and physical-AI data for development, training and testing.
02 / How we work
A custom test becomes a repeatable engineering tool.
Start with a development question. Specify conditions, capture evidence, compare results and keep the protocol clear enough to run again.
Define the question
Choose the sensor, software behavior, model capability or robot task to evaluate.
Design the test
Set scenarios, equipment, operating conditions, reference measurements and evaluation criteria.
Capture the data
Record the relevant sensor signals, robot state, actions and outcomes with useful context.
Compare performance
Run the test again, examine results and identify where behavior changes across conditions.
Reuse what works
Turn recurring test needs into reusable protocols, benchmarks, software and data workflows.
03 / Community
A development community for practical robotics testing.
House of Hackers is a community for people working on robotic sensors, robot software and physical-AI data. The focus is practical evaluation and methods others can repeat.
Evaluate the whole system
Work across sensing, software, data and operating conditions to understand robotic system behavior.
Make methods reusable
Define test conditions, measures and data so evaluation can be repeated and compared.
Core focusCustom tests, repeatable benchmarks and data workflows for robotic sensors, robot software and physical AI.
04 / Field notes
Field reading: tools and standards in robotics.
A short reading list on current tools and standards shaping robotics development.
Physical-AI models
NVIDIA’s GR00T materials describe foundation-model development for humanoid robots and associated data and simulation workflows.
NVIDIA GR00T ↗Simulation & synthetic data
Isaac Sim provides robotics simulation, testing and synthetic-data generation tools.
Isaac Sim ↗Robot-learning data
Open X-Embodiment is a cross-embodiment robotics dataset effort, reflecting the importance of organized robot data for model development.
Open X-Embodiment ↗Test methods
ISO’s robotics standards pages cover safety, performance and test-method work across robotics.
ISO robotics ↗House of Hackers
Make robotics easier to test, compare and improve.
Custom tests, benchmarks and data workflows for robotic systems — built with a community of robotics developers.