Robotic Precision vs Control Complexity
Allocate SIL requirements between active control and passive mechanical features so the combined system meets the required safety integrity level efficiently.
CyberTRIZ analysis · Space contradiction TSI024 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Business Context
In-space assembly, servicing, docking, sample handling, and scientific operations may require precise robotic positioning. Achieving greater precision through active control can require additional sensors, actuators, processing, calibration, and control loops. The resulting complexity can itself introduce new reliability and verification challenges.
Space TRIZ Resolution
Precision should be shared between active control and passive mechanical features. Alignment guides, compliant mechanisms, capture interfaces, mechanical constraints, and standardized docking geometries can reduce the precision required from robotic control systems.
Applicable TRIZ Principles
Principle 3 – Local Quality concentrates high precision only where task performance requires it.
Principle 17 – Another Dimension uses geometry to simplify alignment and capture.
Principle 24 – Intermediary introduces alignment or capture mechanisms between robotic systems and targets.
Expected Outcome
Higher effective robotic precision
Simpler control systems
Reduced sensor and actuator demands
Greater servicing reliability
Decision Indicators
Early indicators include:
Small improvements in precision require substantial control-system expansion.
Robots must actively correct errors that passive interfaces could accommodate.
Sensor quantity increases primarily to support final alignment.
Precision requirements exceed actual task needs.
Mechanical interface design contributes little to positioning accuracy.