What are the difficulties in creating autonomous systems?

The difficulties in creating autonomous systems are:

1. Safety: The system must work safely in all situations and should not harm people or property.
2. Accuracy and reliability: It should give correct results consistently, even with new or unexpected inputs.
3. Sensing and understanding the environment: Using sensors/cameras to detect objects, distance, and obstacles correctly is difficult, especially in poor light, rain, dust, etc.
4. Decision making in real time: The system must take quick and correct decisions without delay.
5. Handling unexpected situations: Real life has surprises (sudden obstacles, unusual behaviour of people/vehicles), which are hard to predict.
6. Privacy: Protecting people’s personal data collected by the system (images, location, etc.) is challenging.
7. Security: Autonomous systems can be hacked, so strong protection is required.
8. Accountability: It is difficult to decide who is responsible if the system makes a mistake—developer, company, or user.
9. Transparency: The system’s decisions should be explainable so humans can understand and trust them.
10. Cost and maintenance: Sensors, software updates, and repairs can be expensive and need regular maintenance.