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01 What is the core sense–plan–act loop in robotics?
Render → store → print Perceive the environment with sensors → decide on an action → execute with actuators Compile → deploy → sleep Search → download → display
02 Why is "embodiment" a hard problem for AI?
Physical bodies are cheaper than software Acting in the messy physical world adds real-time perception, dynamics and safety constraints Robots never need sensors The real world is simpler than simulation
03 Why pursue the human form for general-purpose robots?
It is the cheapest possible shape Our environments and tools are built for the human body, so a humanoid can use them directly Humanoids require no balance control It is purely for marketing
04 What AI advances most enabled the recent jump in humanoid capability?
Faster spreadsheets Better perception (vision) and learned control policies trained in simulation Removing all sensors Slower processors
05 What remains a major open challenge for humanoid robots?
There are no remaining challenges Robust dexterity, reliability, safety and cost at scale in unstructured environments Displaying text on a screen Connecting to Wi-Fi