<div dir="ltr"><div class="gmail_default" style=""><div class="gmail_default" style="font-size:small"><font face="arial, sans-serif"><font style="color:rgb(0,0,0);vertical-align:inherit"><font style="vertical-align:inherit"><b>When:</b>    </font></font><font style="vertical-align:inherit"><font style="vertical-align:inherit"><font style="color:rgb(0,0,0)">    Friday, March 24</font><span class="gmail_default" style="color:rgb(0,0,0)">, 2023</span><font style="color:rgb(0,0,0)"> at</font><b style="color:rgb(0,0,0)"> <u style="background-color:rgb(255,255,0)">11:00</u></b><span style="background-color:rgb(255,255,0)"><b><u><font color="#000000"> a</font></u></b><b><u><font color="#000000">m CT</font></u><font color="#000000">   </font></b></span></font></font><br></font></div><div class="gmail_default" style=""><p style="font-size:small;color:rgb(80,0,80);font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal;margin:0px"><b style="font-family:arial,sans-serif"><font color="#500050"><br></font></b></p><p style="font-size:small;color:rgb(80,0,80);font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal;margin:0px"><b style="font-family:arial,sans-serif"><font color="#500050">Where:       </font></b><font color="#000000" style="font-family:arial,sans-serif"><span class="gmail-il">Talk</span> will be given </font><font color="#000000" style="font-family:arial,sans-serif;font-weight:bold"><u>live, in-person</u></font><font style="font-family:arial,sans-serif;font-weight:bold"> </font><span style="font-family:arial,sans-serif">at</span><br></p><p class="MsoNormal" style="font-size:small;margin:0in;color:rgb(80,0,80);line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><font color="#500050">               </font><font color="#000000">    <span class="gmail-il">TTIC</span>, 6045 S. Kenwood Avenue</font></font></p><p class="MsoNormal" style="font-size:small;margin:0in;color:rgb(80,0,80);line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif" color="#000000">                   5th Floor, Room 530<b> </b></font></p><p class="MsoNormal" style="font-size:small;margin:0in;color:rgb(80,0,80);line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><b><span style="color:black"><br></span></b></font></p><p class="MsoNormal" style="font-size:small;margin:0in 0in 0.0001pt;color:rgb(80,0,80);line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><b style="color:rgb(60,64,67);letter-spacing:0.2px;white-space:pre-wrap">Virtually:</b><span style="color:rgb(60,64,67);letter-spacing:0.2px;white-space:pre-wrap">   <i>via</i> Panopto </span>(<b><a href="https://uchicago.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=d9e7109f-b795-49fb-b3fd-afc801562270" target="_blank">livestream</a></b><span style="color:rgb(60,64,67);letter-spacing:0.2px;white-space:pre-wrap">)</span><br></font></p><p class="MsoNormal" style="font-size:small;margin:0in 0in 0.0001pt;color:rgb(80,0,80);line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><span style="color:rgb(60,64,67);letter-spacing:0.2px;white-space:pre-wrap"><br></span></font></p><p class="MsoNormal" style="font-size:small;margin:0in 0in 0.0001pt;color:rgb(80,0,80);line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font style="font-family:arial,sans-serif;vertical-align:inherit"><font style="vertical-align:inherit"><b>Who: </b> <font color="#500050">    </font><font color="#000000"><font color="#500050">    </font></font></font></font><span style="color:rgb(34,34,34)">Kuan Fang, UC Berkeley</span><br></p><p class="MsoNormal" style="font-size:small;margin:0in 0in 0.0001pt;color:rgb(80,0,80);line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><br></font></p><div class="MsoNormal" align="center" style="font-size:small;margin:0in 0in 8pt;color:rgb(80,0,80);text-align:center;line-height:15.6933px"><hr size="2" width="100%" align="center"></div><div style=""><div style=""><font face="arial, sans-serif" style=""><b style="">Title: </b>Scalable Robot Intelligence: Self-Supervised Learning through Generation </font></div><div style=""><font face="arial, sans-serif"><br></font></div><div style=""><font face="arial, sans-serif"><b>Abstract: </b>Rapid advances in deep learning have resulted in promising techniques for robots to boost their capabilities to perceive, reason, and act by leveraging large models and massive datasets. However, the scalability of existing robot learning methods is severely limited by the manual labor and domain knowledge that humans can provide. To acquire general-purpose skills for solving a broad range of tasks, intelligent robots need scalable methods to collect and learn from rich data without extensive human supervision. </font></div><div style=""><font face="arial, sans-serif"><br></font></div><div style=""><font face="arial, sans-serif">In this talk, I will present my research on scaling up robot learning through the autonomous generation of environments, goals, and tasks. I will start by describing how to leverage procedural content generation for learning robust skills that can handle the variety and uncertainty of the real world. Then I will present algorithms that train robots to effectively reuse skills learned from prior experiences for novel sequential tasks by learning to generate reachable subgoals. Finally, I will demonstrate how to enable robots to discover a repertoire of novel skills by adaptively generating tasks during training. The acquired skills can be used for solving a variety of complex tasks such as tool use and sequential manipulation based on raw sensory inputs. </font></div><div style=""><font face="arial, sans-serif"><br></font></div><div style=""><font face="arial, sans-serif"><b>Bio: </b><span class="gmail-il">Kuan</span> <span class="gmail-il">Fang</span> is a postdoctoral researcher in the Department of Electrical Engineering and Computer Sciences at UC Berkeley, working with Sergey Levine. He received his Ph.D. degree in Electrical Engineering from Stanford University, advised by Fei-Fei Li and Silvio Savarese. His research interests lie at the intersection of robotics, computer vision, and machine learning, with a focus on developing data-driven methods to enable intelligent robots to operate in unstructured environments. He is a recipient of the Stanford Graduate Fellowship and the Computing Innovation Fellowship.</font></div></div><div style=""><div><div><font color="#000000" face="arial, sans-serif"><b><br></b></font></div><div><b style="color:rgb(0,0,0);font-family:arial,sans-serif">Host: </b><a href="mailto:mwalter@ttic.edu" target="_blank" style="font-family:arial,sans-serif">Matthew Walter</a><br></div></div></div><div style=""><font face="arial, sans-serif"><br></font></div><div style="font-size:small"><br></div><div style="font-size:small"><br></div><div style="font-size:small"><br></div></div></div><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><span style="font-family:arial,helvetica,sans-serif;font-size:x-small">Mary C. Marre</span><br></div><div><div><font face="arial, helvetica, sans-serif" size="1">Faculty Administrative Support</font></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6" size="1"><b>Toyota Technological Institute</b></font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6" size="1">6045 S. Kenwood Avenue, Rm 517</font></i></div><div><font size="1"><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Chicago, IL  60637</font></i><br></font></div><div><font size="1"><i><font face="arial, helvetica, sans-serif" color="#3d85c6">773-834-1757</font></i></font></div><div><b><i><a href="mailto:mmarre@ttic.edu" target="_blank"><font face="arial, helvetica, sans-serif" size="1">mmarre@ttic.edu</font></a></i></b></div></div></div></div></div></div>