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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. This episode is presented by Cash App. Download it & use code "LexPodcast": Cash App (App Store): https://apple.co/2sPrUHe Cash App (Google Play): https://bit.ly/2MlvP5w PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ Full episodes playlist: • Lex Fridman Podcast Clips playlist: • Lex Fridman Podcast Clips EPISODE LINKS: Anca's Twitter: / ancadianadragan Anca's Website: https://people.eecs.berkeley.edu/~anca/ OUTLINE: 0:00 - Introduction 2:26 - Interest in robotics 5:32 - Computer science 7:32 - 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 CONNECT: Subscribe to this YouTube channel Twitter: / lexfridman LinkedIn: / lexfridman Facebook: / lexfridmanpage Instagram: / lexfridman Medium: / lexfridman Support on Patreon: / lexfridman