MEchanics GAthering -MEGA- Seminar: Talk 1 - Revisiting fast-start in bio-inspired locomotion; Talk 2 - Performance insights of a biomimetic anguilliform robot
Event details
| Date | 05.05.2022 |
| Hour | 16:15 › 17:30 |
| Speaker | Gaétan Raynaud (UNFoLD, EPFL) & Alexandros Anastasiadis (UNFoLD, EPFL) |
| Location | Online |
| Category | Conferences - Seminars |
| Event Language | English |
Talk 1: Revisiting fast-start in bio-inspired locomotion, by Gaétan Raynaud (UNFoLD, EPFL)
Abstract Fishes perform high accelerations and manoeuvres to escape predatory strikes and survive. Understanding the principles of such swimming transitions paves the way for designing robust and efficient bio-inspired robots. We measure thrust and input 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 these two periodic modes. Motions that offer the best trade-off between reaching quickly high levels of thrust and saving energy during the transition are analysed and compared with an abrupt transition. The goal is to lay the ground for data-driven control strategies that improve the capabilities of bio-inspired swimmers.
Bio Gaétan obtained an engineering degree at Polytechnique in France. He completed a research-based master at Polytechnique 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 data-driven analysis and control for fluid-structure interactions.
Talk 2: Performance insights of a biomimetic anguilliform robot, by Alexandros Anastasiadis (UNFoLD, EPFL)
Abstract Fish tune their swimming kinematics depending on the flow conditions to reduce their energy consumption or swim at higher velocities. We are interested in exploring locomotion parameters that enhance the swimming performance of anguilliform shape swimmers. To address this problem experimentally, we use a biomimetic anguilliform robot, named 1-guilla. The robot can provide accurate kinematic control and energy consumption information that, combined with velocity measurements, result in a complete evaluation of the swimming performance. Results reveal preferred swimming kinematics for minimum cost of transport and maximum achieved velocity respectively.
Bio Alexandros Anastasiadis is a first-year Ph.D. student co-supervised by UNFoLD and BioRob laboratories 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.
Abstract Fishes perform high accelerations and manoeuvres to escape predatory strikes and survive. Understanding the principles of such swimming transitions paves the way for designing robust and efficient bio-inspired robots. We measure thrust and input 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 these two periodic modes. Motions that offer the best trade-off between reaching quickly high levels of thrust and saving energy during the transition are analysed and compared with an abrupt transition. The goal is to lay the ground for data-driven control strategies that improve the capabilities of bio-inspired swimmers.
Bio Gaétan obtained an engineering degree at Polytechnique in France. He completed a research-based master at Polytechnique 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 data-driven analysis and control for fluid-structure interactions.
Talk 2: Performance insights of a biomimetic anguilliform robot, by Alexandros Anastasiadis (UNFoLD, EPFL)
Abstract Fish tune their swimming kinematics depending on the flow conditions to reduce their energy consumption or swim at higher velocities. We are interested in exploring locomotion parameters that enhance the swimming performance of anguilliform shape swimmers. To address this problem experimentally, we use a biomimetic anguilliform robot, named 1-guilla. The robot can provide accurate kinematic control and energy consumption information that, combined with velocity measurements, result in a complete evaluation of the swimming performance. Results reveal preferred swimming kinematics for minimum cost of transport and maximum achieved velocity respectively.
Bio Alexandros Anastasiadis is a first-year Ph.D. student co-supervised by UNFoLD and BioRob laboratories 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.
Practical information
- General public
- Free
Organizer
- MEGA.Seminar Organizing Committee