The Complexity of Human-Robot Interaction

Anca Dragan is a professor at Berkeley, working on human-robot interaction — algorithms that look beyond the robot’s function in isolation, and generate robot behavior that accounts for interaction and coordination with human beings.

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EPISODE LINKS:
Anca’s Twitter: https://twitter.com/ancadianadragan
Anca’s Website: https://people.eecs.berkeley.edu/~anca/

This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it on Patreon.

Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.

OUTLINE:
00:00 – Introduction
02:26 – Interest in robotics
05:32 – Computer science
07:32 – Favorite robot
13:25 – How difficult is human-robot interaction?
32:01 – HRI application domains
34:24 – Optimizing the beliefs of humans
45:59 – Difficulty of driving when humans are involved
1:05:02 – Semi-autonomous driving
1:10:39 – How do we specify good rewards?
1:17:30 – Leaked information from human behavior
1:21:59 – Three laws of robotics
1:26:31 – Book recommendation
1:29:02 – If a doctor gave you 5 years to live…
1:32:48 – Small act of kindness
1:34:31 – Meaning of life