Teaching Apparatus TRIZ Cases

See how a digital-tile timer system replaces manual monitoring with automated alerts and sensor

See how a training spoon with separate straight and angled handles enables a helper to guide a

See how a kitchen appliance generates personalized recipe suggestions by capturing food data an

See how trapezoid prism attachments serve as thumb rests, enabling standard chopstick grip and

See how a C-hook coupling bar guides planetary-gear-like twirling motion separately from thumb

Adaptive weighting and reinforcement learning normalize operator energy-efficiency scores across vehicles and conditions for fairer feedback.

Reinforcement learning tunes efficiency metric weights to normalize operator scores across vehicle and environmental differences.

Detailed weld-path data and location-based quality feedback improve operator training while avoiding the cost of traditional welding trainers.

Location-based weld review links torch angle, speed, and tip distance to porosity, spatter, and undercut for faster operator training.

Sensor-based torch tracking captures joint path, work angle, and travel angle to deliver lower-cost, real-time welding training feedback.

Simulated electrode retraction, holder inputs, and real-time feedback make welding training more immersive and lower physical training cost.