Outline 00:00 - Intro 00:58 - Early steps… in physics! 05:17 - AI in Edinburgh 08:00 - Connectionism 10:37 - Robot learning 19:02 - Imitation learning 23:00 - On pursuing a PhD 24:45 - Californian chronicles 30:10 - Modularity 33:20 - Challenges in robot learning 39:44 - Dexterous manipulation 43:52 - Dynamical systems 47:37 - Combining ML and control 51:25 - Human-robot interaction 54:24 - Safety and compliance 57:54 - Deadlines for papers 1:06:38 - Advice to future students 1:07:08 - Outro Links Aude’s lab: http://tinyurl.com/4nsx2kra Robot learning: http://tinyurl.com/2ty25t2r Connectionism: http://tinyurl.com/mrd76zfx I. Demiris: http://tinyurl.com/nhhn6ymu Hebbian learning: http://tinyurl.com/35ey7um5 DRAMA (paper): http://tinyurl.com/4fvbs867 Imitation learning: http://tinyurl.com/2af3aew4 Mirror neurons: http://tinyurl.com/4nd3sm75 G. Rizzolatti: http://tinyurl.com/5b4xfab5 Embodied cognition: http://tinyurl.com/5284kp8f A biologically inspired robotic model for learning by imitation: http://tinyurl.com/4j33nphv M. Airbib: http://tinyurl.com/3bu3y5dz Recent Advances in Robot Learning from Demonstration: http://tinyurl.com/487pm3xk Synthetic brain imaging (paper): http://tinyurl.com/38uerwk7 Catching Objects in Flight (paper): http://tinyurl.com/38d8fk9m Feasibility not optimality (video): http://tinyurl.com/mwa8b7et Learning multiple-attractors (paper): http://tinyurl.com/2j3yxwm8 On human compliance (paper): http://tinyurl.com/4vp2kmhw Deadlines for conferences: http://tinyurl.com/mpwntkty Support the showPodcast info Podcast website: https://www.incontrolpodcast.com/ Apple Podcasts: https://tinyurl.com/5n84j85j Spotify: https://tinyurl.com/4rwztj3c RSS: https://tinyurl.com/yc2fcv4y Youtube: https://tinyurl.com/bdbvhsj6 Facebook: https://tinyurl.com/3z24yr43 Twitter: https://twitter.com/IncontrolP Instagram: https://tinyurl.com/35cu4kr4 Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.