LCSR Seminar: Alireza Ramezani

Oct 19, 2022
12 - 1pm EDT
Room B17 (also online), Hackerman Hall Hackerman Hall
Homewood Campus
This event is free

Who can attend?

  • General public
  • Faculty
  • Staff
  • Students

Contact

Laboratory for Computational Sensing and Robotics
410-516-6841

Description

Alireza Ramezani, an assistant professor at the Department of Electrical & Computer Engineering at Northeastern University, will give a talk titled "Bat-Inspired Dynamic Morphing Wing Flight Through Morphology and Control Design" for the Laboratory for Computational Sensing and Robotics.

To attend virtually, the Zoom link is on the LCSR lecture page.

Abstract:

When 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 quickly 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 fluidic environment through dynamically versatile wing conformations as dynamic morphing wing flight.

In this talk, I will describe some of the challenges 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 key to their agility and efficiency. Unlike a jellyfish whose body conformations are fully dominated by its passive dynamics, a bat employs its active and passive dynamics to achieve dynamic morphing within its gaitcycles with a notable degree of control over joint movements. Copying bats' morphing wings has remained an open engineering problem due to a classical robot design challenge: having many active coordinates in MAVs is impossible because of prohibitive design restrictions such as limited payload and 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 associated with gait generation and regulation. We call this framework Morphing via Integrated Mechanical Intelligence and Control (MIMIC). Based on this framework, my team at SiliconSynapse Laboratory at Northeastern University has copied bat dynamically versatile wing conformations in untethered flight tests.

Who can attend?

  • General public
  • Faculty
  • Staff
  • Students

Contact

Laboratory for Computational Sensing and Robotics
410-516-6841