Plan the mission
Shape goals, constraints, acceptance criteria, and work breakdowns before implementation begins.
YANGAAA / SYSTEM SURFACE
One operating system for the robot lifecycle.
YANGAAA gives robotics teams a shared place to turn mission intent into engineering artifacts, test evidence, commissioning plans, and field-ready decisions.
Robot program / active loop
Context connected
01Mission & requirementsmapped
02System & controls designlinked
03Build & integrateready
04Validate & commissionevidence
05Deploy & maintainfield loop
Traceability index92% linked
01 / ContinuityContext survives the handoff.
02 / EvidenceDecisions become reviewable artifacts.
03 / OperationsField signals return to engineering.
The operating loop
From first brief to field-ready system.
Specialized AI guidance meets the real interfaces of robotics work: requirements, safety, controls, autonomy, validation, deployment, and maintenance.
Design the system
Connect system architecture, interfaces, behaviors, data flows, and safety decisions.
Build the stack
Move from design intent into autonomy, controls, perception, integration, and fleet software.
Prove readiness
Generate test coverage for simulation, HIL, acceptance, motion, perception, and fault handling.
Commission & deploy
Prepare staged releases, site readiness, operator handoff, rollback paths, and fleet rollout decisions.
Learn from the field
Turn symptoms, alarms, diagnostics, and service history into safer recovery and better next releases.
The handoff layer
Make every engineering decision legible.
YANGAAA keeps the “why” beside the “what”—so a controls engineer, autonomy lead, commissioning technician, or field maintainer can pick up the work without starting over.
INPUTRobot brief + operating constraintsstructured
AIDomain-aware analysis and generationreviewable
OUTPUTPlans, code, tests, diagrams, and guidesexportable
LOOPField evidence back into the programcontinuous
Specialist agents
Built around the people who ship robots.
Use the right lens for the work at hand, with vendor and component context carried into the conversation.
Controls engineering
PLC, drive, safety, I/O, and controller-aware reasoning for integration and commissioning.
ControlsAutonomy & AI/ML
Perception, localization, planning, behavior, and edge-inference workflows grounded in mission goals.
AutonomyTesting & validation
Acceptance criteria, simulation, HIL, regression, and fault-injection coverage that teams can review.
ValidationField maintenance
Safe troubleshooting, symptom capture, service context, and escalation without invented limits or alarm meanings.
Operations