https://youtu.be/bRsjfbqHj8k?si=oYc295D5R5jVygqB
1. How does the public perception of AI differ from the reality of AI?
2. What are some examples of specific tasks that AI focuses on achieving?
3. Why has progress in robotic AI been slower compared to text-based AI?
4. What are some applications of soft robotics mentioned in the video?
5. How can robots learn from their actions and acquire more skills?
6. How do sensors play a role in the complexity of robotic AI?
7. What are some common issues that arise with hardware in robotic AI systems?
8. Has the robustness of robots improved over the years?

Answers
2. The public often associates AI with robots that can perform physical tasks, but progress in robotic AI has been slower.
3. AI focuses on specific tasks like language translation, driving cars, and playing chess.
4. Progress in robotic AI has been slower due to the complexity of physical world interactions.
5. Soft robotics applications include industry, inspection, medical robots, and robots designed for safe interaction.
6. Robots can learn from their actions through sensor information and human-like teaching methods.
3. Sensors play a crucial role in robotic AI by providing input about the environment, helping the robot perceive and navigate its surroundings.
6. Common issues that arise with hardware in robotic AI systems include downtime, breakdowns, and the need for robustness in the system.
7. The robustness of robots has improved over the years, with advancements in hardware technology and approaches that make the robots more reliable and repeatable in their actions.