More Sensors vs Simpler System Architecture
Integrate requirements, version control, and CI/CD tooling so traceability links are auto-generated as a byproduct of normal engineering activity, not manual administration.
CyberTRIZ analysis · AIRobotics contradiction R006 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Business Context
Modern robotic systems increasingly depend on multiple sensing technologies-including cameras, LiDAR, radar, ultrasonic devices, force sensors, and inertial measurement units-to improve perception, navigation, object recognition, and environmental awareness. While each additional sensor enhances operational capability, it also increases hardware integration, communication complexity, calibration requirements, maintenance effort, and potential failure points. Organizations must therefore improve environmental perception without creating unnecessarily complex robotic architectures.
AI & Robotics TRIZ Resolution
Rather than adding independent sensing devices for every operational requirement, organizations should implement sensor fusion architectures, multifunction sensing technologies, and centralized perception platforms that combine information from multiple sources. This approach reduces hardware redundancy while improving perception accuracy, reliability, and maintainability.
Applicable TRIZ Principles
Principle 5 – Merging integrates multiple sensing functions into coordinated perception systems.
Principle 6 – Universality enables individual sensing components to perform multiple operational functions.
Principle 40 – Composite Materials combines complementary sensing technologies to achieve superior environmental awareness.
Expected Outcome
Improved environmental awareness
Simplified system architecture
Reduced maintenance effort
Higher operational reliability
Decision Indicators
Early indicators that sensor expansion is increasing system complexity include:
Integration projects require extensive engineering effort.
Sensor calibration consumes increasing time.
Maintenance activities become more frequent.
Wiring complexity continues growing.
Hardware failures increase.
Monitoring these indicators supports efficient robotic architecture.