Flight-by-feel is an emerging approach to flight control that uses distributed arrays of
pressure, strain, and flow sensors to guide aircraft. Among these, hair-type flow sensors …

Rough terrain locomotion has remained one of the most challenging mobility questions. In
2022, NASA's Innovative Advanced Concepts (NIAC) Program invited US academic …

Inspired by Chukars wing-assisted incline running (WAIR), in this work, we employ a high-
fidelity model of our Husky Carbon quadrupedal-legged robot to walk over steep slopes of …

Along with the advancement of robot skin technology, there has been notable progress in
the development of snake robots featuring body-surface tactile perception. In this study, we …

This work presents an actuation framework for a bioinspired flapping drone called Aerobat.
This drone, capable of producing dynamically versatile wing conformations, possesses 14 …

The main contributions of this MS Thesis is centered around taking steps towards successful
multi-modal demonstrations using Northeastern's legged-aerial robot, Husky Carbon. This …

By virtue of distinguished wing shape morphing characteristics, the unrivaled agility and
flight maneuverability of bats have inspired scientists and engineers to develop novel forms …

Inspired by the agility, high efficiency, and low noise of bat flight, we propose the design of
an unoccupied aerial vehicle (UAV) that can mimic the flight behaviors of bats. By adjusting …

Flight-by-feel (FBF) is an approach to flight control that uses dispersed sensors on the wings
of aircraft to detect flight state. While biological FBF systems, such as the wings of insects …

Flying animals, such as bats, fly through their fluidic environment as they create air jets and
form wake structures downstream of their flight path. Bats, in particular, dynamically morph …