Better Obstacle Avoidance vs Shorter Navigation Time
Validate and document predictive path-planning algorithms within the technical file required by the AI Act for high-risk autonomous vehicles.
CyberTRIZ analysis · AIRobotics contradiction AS014 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Business Context
Autonomous vehicles and robots must avoid obstacles safely while maintaining efficient movement toward mission objectives.
AI & Robotics TRIZ Resolution
Implement predictive path planning that continuously evaluates potential obstacles while maintaining optimized travel routes.
Applicable TRIZ Principles
Principle 10 – Preliminary Action anticipates obstacles before they affect navigation.
Principle 15 – Dynamics continuously adapts routes as environmental conditions change.
Principle 23 – Feedback uses real-time sensor information to refine navigation decisions.
Expected Outcome
Safer navigation
Shorter travel time
Reduced mission delays
Improved operational efficiency
Decision Indicators
Early indicators include:
Detours become increasingly common.
Travel time exceeds operational targets.
Emergency maneuvers increase.
Navigation efficiency declines.
Monitoring these indicators improves autonomous navigation.