2 citations · 2 across the 5 of their papers we have counts for
6 papers
Real-Time Disturbance-Aware Koopman Model Predictive Control for Quadrotors in Spatially Varying Winds
Stella Kombo, Masih Haseli, Alejandro A. Stefan-Zavala +3
Reliable quadrotor flight in disturbed environments requires predictive models that remain accurate as unmodeled aerodynamic effects change during deployment. We introduce a distur…
Wind-Informed Rapid Flight-Planning in Complex Urban Topologies via Machine Learning and Experimental Validation
Peter I. Renn, Alejandro A. Stefan-Zavala, Julian Humml +8
Advanced air mobility operations hold the potential to enhance and expand regional transportation of both people and goods in populated areas. However, hazardous flight conditions…
Wake Vectoring for Efficient Morphing Flight
Ioannis Mandralis, Severin Schumacher, Morteza Gharib
Morphing aerial robots have the potential to transform autonomous flight, enabling navigation through cluttered environments, perching, and seamless transitions between aerial and…
A Narwhal-Inspired Sensing-to-Control Framework for Small Fixed-Wing Aircraft
Fengze Xie, Xiaozhou Fan, Jacob Schuster +2
Fixed-wing unmanned aerial vehicles (UAVs) offer endurance and efficiency but lack low-speed agility due to highly coupled dynamics. We present an end-to-end sensing-to-control pip…
Quadrotor Morpho-Transition: Learning vs Model-Based Control Strategies
Ioannis Mandralis, Richard M. Murray, Morteza Gharib
Quadrotor Morpho-Transition, or the act of transitioning from air to ground through mid-air transformation, involves complex aerodynamic interactions and a need to operate near act…
Data-Driven Modeling for On-Demand Flow Prescription in Fan-Array Wind Tunnels
Alejandro A. Stefan-Zavala, Isabel Scherl, Ioannis Mandralis +2
Fan-array wind tunnels are an emerging technology to design bespoke wind fields through grids of individually controllable fans. This design is especially suited for the turbulent,…