BEGIN:VCALENDAR METHOD:REQUEST PRODID:Microsoft Exchange Server 2010 VERSION:2.0 BEGIN:VTIMEZONE TZID:Eastern Standard Time BEGIN:STANDARD DTSTART:16010101T020000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;INTERVAL=1;BYDAY=1SU;BYMONTH=11 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010101T020000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;INTERVAL=1;BYDAY=2SU;BYMONTH=3 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT ORGANIZER;CN="Satterfield, Mary Ann":mailto:msaterfi@purdue.edu ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=ecefaculty @ecn.purdue.edu:mailto:ecefaculty@ecn.purdue.edu ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=ececourtes y-list@ecn.purdue.edu:mailto:ececourtesy-list@ecn.purdue.edu ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=ecegradstu dent-list@ecn.purdue.edu:mailto:ecegradstudent-list@ecn.purdue.edu ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=ecepostdoc s-list@ecn.purdue.edu:mailto:ecepostdocs-list@ecn.purdue.edu ATTACH:CID:image001.png@01D8168A.26950D30 ATTACH:CID:image002.png@01D8168C.5C0C6BA0 ATTACH:CID:image003.png@01D8168C.5C4AFB40 ATTACH:CID:image002.png@01D8168C.5C4EF2E0 DESCRIPTION;LANGUAGE=en-US:If you would like to meet with this candidate\, please place your time\, name\, and meeting place on his itinerary.\nQiang Qiu (qqiu@purdue.edu) is host.\n________________________________\n\nFaculty Candidate Seminar – A utonomous and Connected Systems\n\n[cid:image002.png@01D8168C.5C4EF2E0]Dr. Nak-Seung Patrick Hyun\nResearch Associate (Postdoctoral Fellow)\nHarvard University\nMonday\, February 7\, 2022\nPresentation: 10:30 A.M. – 11: 30 A.M.\nQ & A: 11:30 A.M. – 12:00 P.M.\nPurdue Graduate Student Center \n504 Northwestern Ave. ~ Room 105A & B\n\nhttps://purdue-edu.zoom.us/j/97 086184212\n\n\nAutonomous Control of Extreme Behaviors in Bio-Inspired Rob otics\nAbstract: Highly agile and extreme behaviors of many biological sy stems offer examples for future research directions to target similar mobi lity in bio-inspired robots understanding of the complex dynamics and subs equent design of a robust and adaptive control framework. Examples of extr eme behaviors in biological systems are the fast oscillation-driven maneuv ers of bees flapping their wings around 200 Hz and the rapid impulsive str iking of mantis shrimp releasing their stored potential energy within mill iseconds. The challenges for control of robots with similar extreme behavi ors lie in the highly nonlinear dynamics operating over multiple timescale s. Specifically\, one has to account for fast dynamics (extreme motions) a nd slow dynamics (time-averaged motion or slower drift in the system)\, an d the time-varying actuation model in the high-frequency regime (fast-dyna mics) vs the low-frequency regime (slow dynamics).\nThis talk will address the control-theoretic aspects of dealing with such challenges in bio-insp ired robots based on first principles in mathematical system theory. The f irst part of this talk will address the recent progress on controlling the Harvard Robobee\, an insect scale flapping-wing vehicle that flaps its wi ngs around 150Hz. In addition\, the recent findings in the nonlinear model ing of the dynamic principles of mantis shrimp strike will be covered\, wh ich allows the striking speed to reach 27 m/s within a few milliseconds. T he second part of this talk will address the causality of modeling nonline ar impulsive systems\, which utilize a singular impulsive contact force in nonlinear mechanical system modeling. The third part of this talk will in troduce the recent work on safe trajectory optimization and multi-agent sy stem control\, envisioning the future of swarms of flapping wing vehicles. Lastly\, I will conclude this talk with future research on the control au tonomy of extreme behaviors in bio-inspired robotics.\nBio: Nak-seung Pat rick Hyun is a research associate at the Harvard Microrobotics Laboratory\ , hosted by Robert J. Wood. His research focuses on the control-theoretic aspects of bio-inspired robots\, emphasizing systems with extreme behavior s such as flapping vehicles and impulsive systems. He is interested in the broad range of nonlinear control\, including optimization-based control\, geometric control\, and contraction-based control. His research program p rovides a cyclic learning cycle between biology\, mathematical system theo ry\, and robotics. He received a Ph.D. in electrical and computer engineer ing in 2018\, an M.S. degree in mathematics in 2013\, and an M.S. degree i n electrical engineering in 2013 from the Georgia Institute of Technology. His previous research at Georgia Tech addresses a new framework of causal modeling of impulsive systems and optimal safe path planning for multi-ag ent systems. He was recognized as an outstanding graduate teaching assista nt by the Georgia Tech ECE Department in 2011.\n UID:040000008200E00074C5B7101A82E00800000000E02B99268A16D801000000000000000 0100000009D2438C4C0107743B05D79DEF95FB127 SUMMARY;LANGUAGE=en-US:ACS Faculty Candidate Dr. Nak-Seung Patrick Hyun\, R A/PostDoc\, Harvard: Autonomous Control of Extreme Behaviors in Bio-Inspi red Robotics DTSTART;TZID=Eastern Standard Time:20220207T103000 DTEND;TZID=Eastern Standard Time:20220207T120000 CLASS:PUBLIC PRIORITY:5 DTSTAMP:20220131T152150Z TRANSP:OPAQUE STATUS:CONFIRMED SEQUENCE:0 LOCATION;LANGUAGE=en-US:Purdue Graduate Student Center\, Room 105A & B X-MICROSOFT-CDO-APPT-SEQUENCE:0 X-MICROSOFT-CDO-OWNERAPPTID:-776005658 X-MICROSOFT-CDO-BUSYSTATUS:TENTATIVE X-MICROSOFT-CDO-INTENDEDSTATUS:BUSY X-MICROSOFT-CDO-ALLDAYEVENT:FALSE X-MICROSOFT-CDO-IMPORTANCE:1 X-MICROSOFT-CDO-INSTTYPE:0 X-MICROSOFT-DONOTFORWARDMEETING:FALSE X-MICROSOFT-DISALLOW-COUNTER:FALSE X-MICROSOFT-LOCATIONS:[{"DisplayName":"Purdue Graduate Student Center\, Roo m 105A & B"\,"LocationAnnotation":""\,"LocationUri":""\,"LocationStreet":" "\,"LocationCity":""\,"LocationState":""\,"LocationCountry":""\,"LocationP ostalCode":""\,"LocationFullAddress":""}] BEGIN:VALARM DESCRIPTION:REMINDER TRIGGER;RELATED=START:-PT15M ACTION:DISPLAY END:VALARM END:VEVENT END:VCALENDAR