<div dir="ltr"><div>Reminder for the AI Seminar this Friday, please use the link below if you plan to attend.</div><div><br></div><div>Sincerely,</div><div>V. Tsotras</div><div>---------------------------------</div><br><div class="gmail_quote gmail_quote_container"><div dir="ltr" class="gmail_attr">On Sat, Apr 11, 2026 at 6:48 PM Vassilis Tsotras <<a href="mailto:vassilis.tsotras@ucr.edu">vassilis.tsotras@ucr.edu</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr"><div dir="ltr"><div class="gmail_quote"><br><div dir="ltr"><div dir="ltr"><div dir="ltr"><div class="gmail_quote"><div dir="ltr"><div dir="ltr"><div class="gmail_quote"><div dir="ltr"><div class="gmail_quote"><div dir="ltr"><div dir="ltr"><div class="gmail_quote"><div dir="ltr"><div dir="ltr"><div class="gmail_quote"><div dir="ltr"><div class="gmail_quote"><div dir="ltr"><div dir="ltr"><div class="gmail_quote"><div dir="ltr"><div dir="ltr"><div class="gmail_quote"><div dir="ltr"><div><div>The next AI Seminar will be on Friday April 17th, 12-1pm, in the MRB Seminar Room (1st floor).</div></div><div><br></div><div>*** Pizza and refreshments will be provided ****<br><br>To keep track of the number of attendees, please *register* at:</div><a href="https://www.eventbrite.com/e/ai-seminar-series-tickets-1987246915018" target="_blank">https://www.eventbrite.com/e/ai-seminar-series-tickets-1987246915018</a><br><div><br></div><div>The talk will be given by <b>Prof</b>. <b>Jonathan Realmuto,</b> Department of Mechanical Engineering, UCR<br><br>TITLE: Closing the loop: learning-based wearable robots for neurorehabilitation</div><div><br></div><div>ABSTRACT: </div><div>This talk presents two recent efforts where machine learning addresses fundamental challenges in wearable robot modeling and control. The first contribution addresses the robot side: a hybrid Neural ODE framework for modeling artificial muscle dynamics that embeds physical structure into a learned model, enabling reliable stiffness control over a 126–176 N/mm range. The second addresses the human side: a transformer-based neural decoder that estimates joint impedance directly from EMG, learning time-varying stiffness and equilibrium position under a least-action prior — the assumption that voluntary movement is energetically efficient. These two contributions reflect a common principle: that both sides of the human-robot interface — the robot's dynamics and the user's intent — must be learned rather than prescribed. The talk closes with an emerging direction: Hebbian self-organization of spinal-like reflex networks, which may ultimately replace both learned models with a single continuously adapting system, removing the need for supervised training altogether.</div><div><br></div><div><br></div><div>Bio:</div><div>Jonathan Realmuto is an assistant professor in the department of Mechanical Engineering at the University of California, Riverside and a visiting scientist at Children’s Hospital Orange County. Together with his research group, the Bionic Systems Laboratory, he designs, builds, and experimentally tests wearable robots and collaborative robots.</div><div><br></div><div>------------------------------------<br>Sponsored by the RAISE@UCR Institute, the <span><span><span>AI</span></span></span> <span><span><span>Seminar</span></span></span> <span><span><span>Series</span></span></span> presents speakers working on cutting edge Foundational <span><span><span>AI</span></span></span> or applying <span><span><span>AI</span></span></span> in their research. The goal of these <span><span><span>seminars</span></span></span> is to inform the UCR community about current trends in <span><span><span>AI</span></span></span> research and promote collaborations between faculty in this emerging field. These <span><span><span>seminars</span></span></span> are open to interested faculty and graduate/undergraduate students. Please forward this email to other colleagues or students in your lab that may be interested. After the <span><span><span>seminar</span></span></span> a discussion will follow for questions, open problems, ideas for possible collaborations etc.<br><br>Sincerely,<br>Vassilis Tsotras<br>Professor, CSE Department<br>co-Director, RAISE@UCR Institute<br><br>Amit Roy-Chowdhury<br>Professor, ECE Department<br>co-Director, RAISE@UCR Institute</div></div>
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