Physical AI Lab
Robot Operational Design Domains: Drawing Useful Boundaries
A grounded guide to robot operational design domains, capability envelopes, supported environments, refusal behavior, …
Robot Reliability
Physical AI Lab
Robot Software Updates and Change Control: Keeping Autonomy Stable
A practical guide to robot software updates, change control, version baselines, validation lanes, rollback plans, fleet …
Physical AI Lab
Robot Environmental Robustness: Dust, Light, Water, and Real Workplaces
A grounded guide to robot environmental robustness, covering dust, lighting, water, cleaning, heat, vibration, ingress, …
Physical AI Lab
Robot Observability and Field Logs: Seeing What the Machine Experienced
A grounded guide to robot observability, field logs, event timelines, health signals, operator actions, privacy, …
Physical AI Lab
Robot Task Design and Acceptance Tests
A practical guide to defining robot tasks, task boundaries, start and end states, acceptance tests, failure cases, and …
Physical AI Lab
Robot Failure Recovery: What Happens After a Robot Gets Stuck
A narrative guide to robot failure recovery, covering safe stops, stuck robots, exception handling, remote support, …
Physical AI Lab
Robot Calibration and Alignment: The Geometry Behind Reliable Motion
A grounded guide to robot calibration, sensor alignment, coordinate frames, timing, drift, validation, and why small …
Physical AI Lab
Robot Actuators and Motion Control: The Muscles Behind Physical AI
A grounded guide to robot actuators, motors, gearboxes, torque, braking, heat, compliance, control loops, and why …
Physical AI Lab
Robot Maintenance and Reliability: The Work After the Demo
A narrative guide to robot maintenance, reliability, batteries, sensors, wheels, calibration, field logs, spare parts, …
Physical AI Lab
Robot Demo Evaluation: How to Tell a Clip from a Deployment
A practical narrative guide to reading robot demos, pilot claims, reliability, safety, supervision, and the difference …