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SUMMARY:MEchanics GAthering -MEGA- Seminar: Talk 1 - Revisiting fast-start
  in bio-inspired locomotion\; Talk 2 - Performance insights of a biomimeti
 c anguilliform robot
DTSTART:20220505T161500
DTEND:20220505T173000
DTSTAMP:20260610T143810Z
UID:e4e3f27dba3a41e78d89d6f833bb4906739f2d9f31f624c15feb6f1a
CATEGORIES:Conferences - Seminars
DESCRIPTION:Gaétan Raynaud (UNFoLD\, EPFL) & Alexandros Anastasiadis 
 (UNFoLD\, EPFL)\nTalk 1: Revisiting fast-start in bio-inspired locomotion\
 , by Gaétan Raynaud (UNFoLD\, EPFL) \n\nAbstract Fishes perform high 
 accelerations and manoeuvres to escape predatory strikes and survive. Unde
 rstanding the principles of such swimming transitions paves the way for de
 signing robust and efficient bio-inspired robots. We measure thrust and in
 put power on a flexible foil that heaves periodically in a water tank and 
 identify two swimming modes: a high efficiency area at moderate amplitude 
 and frequency and a high-thrust region at high amplitude and frequency. A 
 genetic algorithm is used to optimise the transition kinematics between th
 ese two periodic modes. Motions that offer the best trade-off between reac
 hing quickly high levels of thrust and saving energy during the transition
  are analysed and compared with an abrupt transition. The goal is to lay t
 he ground for data-driven control strategies that improve the capabilities
  of bio-inspired swimmers.\n\nBio Gaétan obtained an engineering degree 
 at Polytechnique in France. He completed a research-based master at Polyte
 chnique Montréal where he worked on physics-informed neural networks with
  Prof. Gosselin and Prof. Houde. Gaétan started a PhD in October 2021 in 
 the Unsteady flow diagnostics laboratory with Prof. Mulleners working on d
 ata-driven analysis and control for fluid-structure interactions.\n\nTalk 
 2: Performance insights of a biomimetic anguilliform robot\, by Alexandr
 os Anastasiadis (UNFoLD\, EPFL)\n\nAbstract Fish tune their swimming kin
 ematics depending on the flow conditions to reduce their energy consumptio
 n or swim at higher velocities. We are interested in exploring locomotion 
 parameters that enhance the swimming performance of anguilliform shape swi
 mmers. To address this problem experimentally\, we use a biomimetic anguil
 liform robot\, named 1-guilla. The robot can provide accurate kinematic co
 ntrol and energy consumption information that\, combined with velocity mea
 surements\, result in a complete evaluation of the swimming performance. R
 esults reveal preferred swimming kinematics for minimum cost of transport 
 and maximum achieved velocity respectively.  \n\nBio Alexandros Anastas
 iadis is a first-year Ph.D. student co-supervised by UNFoLD and BioRob lab
 oratories of EPFL. He obtained his diploma in mechanical engineering from 
 the National Technical University of Athens. In his Ph.D.\, he is working 
 on the hydrodynamics of anguilliform swimmers.
LOCATION:MED 2 2423 https://plan.epfl.ch/?room==MED%202%202423 https://epf
 l.zoom.us/j/64863509346?pwd=RGlkWjRGOVVSaXZxdFdrb3duYy9mZz09
STATUS:CONFIRMED
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