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</o:shapelayout></xml><![endif]--></head><body lang=SL link=blue vlink=purple style='word-wrap:break-word'><div class=WordSection1><p class=MsoNormal><img width=892 height=248 style='width:9.2916in;height:2.5833in' id="image001.png_x0040_01DAC64E.DDE67E30" src="cid:image001.png@01DAC64E.DDE67E30"><span style='font-size:12.0pt;font-family:"Times New Roman",serif'><o:p></o:p></span></p><p class=MsoNormal>Vabimo vas na 2. predavanje iz sklopa »Kolokviji na IJS« v akademskem letu 2024/25, ki bo izjemoma <b>v PETEK, 25.</b> <b>oktobra 2024, ob 13:00</b> v Veliki predavalnici Instituta »Jožef Stefan« na Jamovi cesti 39 v Ljubljani. Predavanje bo <b>v angleščini</b>. Na voljo bodo kava, pijača in prigrizki.<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><b><span lang=EN-US style='font-size:16.0pt'>Izboljšanje človeške zmogljivosti z uporabo obtelesne robotike in strojnega učenja</span></b><b><span style='font-size:16.0pt'><o:p></o:p></span></b></p><p class=MsoNormal><span style='font-size:16.0pt'><o:p> </o:p></span></p><p class=MsoNormal><b><u><span lang=EN-US style='font-size:12.0pt'>prof. dr. Lorenzo Masia</span></u></b><b><u><span style='font-size:12.0pt'><o:p></o:p></span></u></b></p><p class=MsoNormal><i>Tehniška univerza v Münchnu (TUM)</i><i>, Nemčija<o:p></o:p></i></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><span lang=EN-US style='mso-fareast-language:EN-GB'>V razvijajočem se okolju podporne tehnologije so mehke nosljive eksoobleke postale ključna inovacija, saj se razlikujejo od svojih togih dvojnikov, eksoskeletov. Obvladovanje mehkih struktur pa ni lahka naloga. Brezhibno usklajevanje robotske pomoči s človeškim gibanjem zahteva ne le kompenzacijo nelinearnega obnašanja naprave, temveč tudi pravilno interpretacijo fizioloških signalov, ki so del glavne povratne zanke. Moja predstavitev se bo osredotočila na najnovejši napredek moje skupine v zadnjih petih letih. Opisal bom pristope, ki smo jih razvili, da bi dobili kompaktne, robustne, zanesljive in učinkovite eksoobleke. Poudarek bo na ponazoritvi popolnoma novega pristopa, imenovanega »vodenje na podlagi konteksta«, ki združuje klasične sisteme vodenja s strojnim učenjem, vključno z umetnim vidom, za optimizacijo modulacije pomoči.</span><o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><b>O predavatelju</b>: Lorenzo Masia je profesor inteligentnih biorobotskih sistemov in namestnik direktorja Münchenskega inštituta za robotiko in strojno inteligenco (MIRMI) na Tehniški univerzi v Münchnu (TUM). <o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><span style='font-size:10.0pt'>Napovednik predavanja in posnetke preteklih predavanj najdete na <b>novi spletni strani »Kolokvijev na IJS«</b> </span><a href="https://kolokviji.ijs.si/"><span style='font-size:10.0pt'>https://kolokviji.ijs.si/</span></a><span style='font-size:10.0pt'>, posnetke pa tudi posebej na </span><a href="https://video.arnes.si/?q=Kolokviji_IJS"><span style='font-size:10.0pt'>https://video.arnes.si/?q=Kolokviji_IJS</span></a><span style='font-size:10.0pt'> (zadnje tri sezone) in </span><a href="http://videolectures.net/kolokviji_ijs"><span style='font-size:10.0pt'>http://videolectures.net/kolokviji_ijs</span></a><span style='font-size:10.0pt'> (starejši).<o:p></o:p></span></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>______________<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>We invite you to the 2nd lecture in the framework of »JSI Colloquia« in the academic year 2024/25, which will exceptionally take place on <b>FRIDAY, October 25, 2024, at 1:00 PM</b> in the main lecture hall of Jožef Stefan Institute, Jamova cesta 39 in Ljubljana. The lecture will be held <b>in English</b>. Coffee, drinks and snacks will be available.<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><b><span style='font-size:16.0pt'>Augmenting human performance using wearable robotics and machine learning<o:p></o:p></span></b></p><p class=MsoNormal><span style='font-size:16.0pt'><o:p> </o:p></span></p><p class=MsoNormal><b><u><span style='font-size:12.0pt'>Prof. Dr. Lorenzo Masia<o:p></o:p></span></u></b></p><p class=MsoNormal><i>Technical University of Munich (TUM)</i><i>, Germany<o:p></o:p></i></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><span lang=EN-US style='mso-fareast-language:EN-GB'>In the evolving landscape of assistive technology, soft wearable exosuits have emerged as a pivotal innovation, distinguishing themselves from their rigid counterparts, the exoskeletons. Yet, mastering soft structures is not an easy task. Seamlessly coordinating robotic assistance with human motion requires compensating not only for the non-linear behaviors of the device but also correctly interpreting the physiological signals that are part of the main control loop. My presentation will focus on my group’s latest progress over the past five years. I will describe the approaches we have developed to obtain compact, robust, reliable, and efficient exosuits. Emphasis will be placed on illustrating a completely novel approach named “context aware control,” which merges classic control strategies and machine learning, including artificial vision, to optimize the modulation of assistance.</span><o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><b>About the lecturer</b>: Lorenzo Masia is a professor of intelligent biorobotic systems and the deputy director of the Munich Institute for Robotics and Machine Intelligence (MIRMI) at the Technical University of Munich (TUM).<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><span style='font-size:10.0pt'>The lecture trailer and recordings of past lectures can be found on the <b>new website of »JSI colloquia«</b></span> <a href="https://kolokviji.ijs.si/"><span style='font-size:10.0pt'>https://kolokviji.ijs.si/</span></a><span style='font-size:10.0pt'>, and recordings specifically at </span><a href="https://video.arnes.si/en/?q=Kolokviji_IJS"><span style='font-size:10.0pt'>https://video.arnes.si/en/?q=Kolokviji_IJS</span></a><span style='font-size:10.0pt'> (last three seasons) and </span><a href="http://videolectures.net/kolokviji_ijs"><span style='font-size:10.0pt'>http://videolectures.net/kolokviji_ijs</span></a><span style='font-size:10.0pt'> (older).<o:p></o:p></span></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>