Lex Fridman Podcast
#81 – Anca Dragan: Human-Robot Interaction and Reward Engineering
Conversations that explore technology, history, philosophy, physics, mathematics, biology, chemistry, engineering, AI, robotics, programming, music, film, art, sports, psychology, neuroscience, geopolitics, business, economics, religion, astronomy, and the human condition with people from all walks of life.
Show Notes
Tap timecodes to jump
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.
Support this podcast by supporting the sponsors and using the special code:
– Download Cash App on the App Store or Google Play & use code “LexPodcast”
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:
– Introduction
– Interest in robotics
– Computer science
– Favorite robot
– How difficult is human-robot interaction?
– HRI application domains
– Optimizing the beliefs of humans
– Difficulty of driving when humans are involved
– Semi-autonomous driving
– How do we specify good rewards?
– Leaked information from human behavior
– Three laws of robotics
– Book recommendation
– If a doctor gave you 5 years to live…
– Small act of kindness
– Meaning of life
This episode is not processed yet. Sign in to queue the transcript and make it useful for search and Q&A.
Sign in to queue transcript (1 credit)
Free to start
Skim the episode first,
Skim the episode first,
then decide if it is worth listening.
Sign up with Google in one click. 10 transcript credits included. No card needed.
Google sign-in · No credit card · 10 free transcript credits