BEGIN:VCALENDAR VERSION:2.0 PRODID:-//128.220.36.25//NONSGML kigkonsult.se iCalcreator 2.26.9// CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Laboratory for Computational Sensing + Robotics X-WR-CALDESC: X-FROM-URL:https://lcsr.jhu.edu X-WR-TIMEZONE:America/New_York BEGIN:VTIMEZONE TZID:America/New_York X-LIC-LOCATION:America/New_York BEGIN:STANDARD DTSTART:20231105T020000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RDATE:20241103T020000 TZNAME:EST END:STANDARD BEGIN:DAYLIGHT DTSTART:20240310T020000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RDATE:20250309T020000 TZNAME:EDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:ai1ec-13110@lcsr.jhu.edu DTSTAMP:20240329T081321Z CATEGORIES: CONTACT:Ashley Moriarty\; amoriar2@jhu.edu DESCRIPTION:Link for Live Seminar\nLink for Recorded seminars – 2022/2023 s chool year\n \nAbstract:\nWhen a flapping bat propels through its fluidic environment\, it creates periodic air jets in the form of wake structures downstream of its flight path. The animal’s remarkable dexterity to quickl y manipulate these wakes with fine-grained\, fast body adjustments is key to retaining the force-moment needed for an all-time controllable flight\, even near stall conditions\, sharp turns\, and heel-above-head maneuvers. We refer to bats’ locomotion based on dexterously manipulating the fluidi c environment through dynamically versatile wing conformations as dynamic morphing wing flight.\nIn this talk\, I will describe some of the challeng es facing the design and control of dynamic morphing Micro Aerial Vehicles (MAV) and report our latest morphing flying robot design called Aerobat. Dynamic morphing is the defining characteristic of bat locomotion and is k ey to their agility and efficiency. Unlike a jellyfish whose body conforma tions are fully dominated by its passive dynamics\, a bat employs its acti ve and passive dynamics to achieve dynamic morphing within its gaitcycles with a notable degree of control over joint movements. Copying bats’ morph ing wings has remained an open engineering problem due to a classical robo t design challenge: having many active coordinates in MAVs is impossible b ecause of prohibitive design restrictions such as limited payload and powe r budget. I will propose a framework based on integrating low-power\, feed back-driven components within computational structures (mechanical structu res with computational resources) to address two challenges associated wit h gait generation and regulation. We call this framework Morphing via Inte grated Mechanical Intelligence and Control (MIMIC). Based on this framewor k\, my team at SiliconSynapse Laboratory at Northeastern University has co pied bat dynamically versatile wing conformations in untethered flight tes ts.\n \nBio:\nAlireza Ramezani is an assistant professor at the Department of Electrical & Computer Engineering at Northeastern University (NU). Bef ore joining NU in 2018\, he was a post-doc at Caltech’s Division of Engine ering and Applied Science. He received his Ph.D. degree in Mechanical Engi neering from the University of Michigan\, Ann Arbor\, with Jessy Grizzle. His research interests are the design of bioinspired robots with nontrivia l morphologies (high degrees of freedom and dynamic interactions with the environment)\, analysis\, and nonlinear\, closed-loop feedback design of l ocomotion systems. His designs have been featured in high-impact journals\ , including two cover articles in Science Robotics Magazine and research h ighlights in Nature. Alireza has received NASA’s Space Technology Mission Directorate’s Program Award in designing bioinspired locomotion systems fo r the exploration of the Moon and Mars craters two times. He is the recipi ent of Caltech’s Jet Propulsion Lab (JPL) Faculty Research Program Positio n. Alireza’s research has been covered by over 200 news outlets\, includin g The New York Times\, The Wall Street Journal\, The Associated Press\, CN N\, NBC\, and Euronews. Currently\, he is leading a $1 Million NSF project to design and control bat-inspired MAVs in the confined space of sewer ne tworks for monitoring and inspection. DTSTART;TZID=America/New_York:20221019T120000 DTEND;TZID=America/New_York:20221019T130000 LOCATION:Hackerman B17 SEQUENCE:0 SUMMARY:LCSR Seminar: Alireza Ramezani “Bat-inspired Dynamic Morphing Wing Flight Through Morphology and Control Design” URL:https://lcsr.jhu.edu/events/alireza-ramezani/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n
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Abstract:
\nWhen a flapping bat propels through its fluidic environment\, it creates periodic air jets in the form of wake structures downstream of its flight path. The animal’s remarkable dexterity to quickl y manipulate these wakes with fine-grained\, fast body adjustments is key to retaining the force-moment needed for an all-time controllable flight\, even near stall conditions\, sharp turns\, and heel-above-head maneuvers. We refer to bats’ locomotion based on dexterously manipulating the fluidi c environment through dynamically versatile wing conformations as dynamic morphing wing flight.
\nIn this talk\, I will describe some of the c hallenges facing the design and control of dynamic morphing Micro Aerial V ehicles (MAV) and report our latest morphing flying robot design called Ae robat. Dynamic morphing is the defining characteristic of bat locomotion a nd is key to their agility and efficiency. Unlike a jellyfish whose body c onformations are fully dominated by its passive dynamics\, a bat employs i ts active and passive dynamics to achieve dynamic morphing within its gait cycles with a notable degree of control over joint movements. Copying bats ’ morphing wings has remained an open engineering problem due to a classic al robot design challenge: having many active coordinates in MAVs is impos sible because of prohibitive design restrictions such as limited payload a nd power budget. I will propose a framework based on integrating low-power \, feedback-driven components within computational structures (mechanical structures with computational resources) to address two challenges associa ted with gait generation and regulation. We call this framework Morphing v ia Integrated Mechanical Intelligence and Control (MIMIC). Based on this f ramework\, my team at SiliconSynapse Laboratory at Northeastern University has copied bat dynamically versatile wing conformations in untethered fli ght tests.
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Bio:
\nAlireza Ramezani is an assistant professor at the Department of Electrical & Computer Engineering at North eastern University (NU). Before joining NU in 2018\, he was a post-doc at Caltech’s Division of Engineering and Applied Science. He received his Ph. D. degree in Mechanical Engineering from the University of Michigan\, Ann Arbor\, with Jessy Grizzle. His research interests are the design of bioin spired robots with nontrivial morphologies (high degrees of freedom and dy namic interactions with the environment)\, analysis\, and nonlinear\, clos ed-loop feedback design of locomotion systems. His designs have been featu red in high-impact journals\, including two cover articles in Science Robo tics Magazine and research highlights in Nature. Alireza has received NASA ’s Space Technology Mission Directorate’s Program Award in designing bioin spired locomotion systems for the exploration of the Moon and Mars craters two times. He is the recipient of Caltech’s Jet Propulsion Lab (JPL) Facu lty Research Program Position. Alireza’s research has been covered by over 200 news outlets\, including The New York Times\, The Wall Street Journal \, The Associated Press\, CNN\, NBC\, and Euronews. Currently\, he is lead ing a $1 Million NSF project to design and control bat-inspired MAVs in th e confined space of sewer networks for monitoring and inspection.
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