Ideas in this flowchart

• Robotics and AI systems face practical challenges and require realistic evaluation.
• Practical challenges
• Sensor noise and measurement errors can affect system performance.
• Limited battery life constrains operation.
• Mechanical wear can reduce reliability.
• Processing and communication delays can hinder system responsiveness.
• Unexpected environmental changes can disrupt system behavior.
• Poor-quality or biased training data can limit AI performance.
• Simulation results may be difficult to transfer to physical robots.
• Successful systems must be evaluated under realistic operating conditions.