BEGIN:VCALENDAR METHOD:PUBLISH PRODID:-//Apple Computer\, Inc//iCal 1.0//EN X-WR-CALNAME;VALUE=TEXT:USC VERSION:2.0 BEGIN:VEVENT DESCRIPTION:\n PhD Candidate: Ryan Julian\n \n Committee: Prof. Gaurav Sukhatme (chair), Prof. Satyandra Gupta, Prof. Heather Culbertson, Prof. Joseph Lim, Prof. Stefanos Nikolaidis, Dr. Karol Hausman\n \n Title: Algorithms and Systems for Continual Robot Learning\n \n Abstract:\n The last decade has seen the rapid evolution of machine learning (ML) from an academic curiosity to an essential capability of modern computing systems, and with it has come an explosion of ML applications which help humans in the real world every day. Whether machine learning can affect such an evolution in the nearby field of robotics--concerned with automating tasks in the physical, rather than the digital world--remains to be seen. Though the last decade has seen an explosion of new methods, remarkably few of these exhibit properties which make them good candidates for building an efficient, continual, multi-task robot skill learning system. This of course begs the question: given a novel method, how should we assess its suitability for building a continually-learning multi-task robot? In other words, how can we systematically assure progress towards new real world capabilities, and avoid getting trapped, running in circles studying novel trivialities? I will argue that three elements--benchmarks, baselines, and novel methods--together form the three-legged stool of research in artificial intelligence. Robotics can only make progress towards the goal of real-world, general-purpose, continually-learning robots by periodically advancing each of these legs, creating a virtuous cycle of new challenges, new systems, new solutions, and ultimately new knowledge. We will follow one such cycle for a small slice of the field, namely continual learning for robotic manipulation, visiting each step to illustrate its effectiveness by example.\n \n Zoom Info:\n Topic: PhD Defense - Ryan Julian\n Time: May 11, 2021 04:00 PM Pacific Time (US and Canada)\n \n Join Zoom Meeting\n https://usc.zoom.us/j/94821577914?pwd=NW14YW5WWjdPcXVna3grcjZqQnFuQT09 SEQUENCE:5 DTSTART:20210511T160000 LOCATION: DTSTAMP:20210511T160000 SUMMARY:PhD Defense - Ryan Julian UID:EC9439B1-FF65-11D6-9973-003065F99D04 DTEND:20210511T173000 END:VEVENT END:VCALENDAR