10 citations · 12 across the 19 of their papers we have counts for
4 papers · 1 filter
A Time and Place to Land: Online Learning-Based Distributed MPC for Multirotor Landing on Surface Vessel in Waves
Jess Stephenson, William S. Stewart, Melissa Greeff
Landing a multirotor unmanned aerial vehicle (UAV) on an uncrewed surface vessel (USV) extends the operational range and offers recharging capabilities for maritime and limnology a…
Tiny Learning-Based MPC for Multirotors: Solver-Aware Learning for Efficient Embedded Predictive Control
Babak Akbari, Justin Frank, Melissa Greeff
Tiny aerial robots hold great promise for applications such as environmental monitoring and search-and-rescue, yet face significant control challenges due to limited onboard comput…
Distributed Model Predictive Control for Cooperative Multirotor Landing on Uncrewed Surface Vessel in Waves
Jess Stephenson, Nathan T. Duncan, Melissa Greeff
Heterogeneous autonomous robot teams consisting of multirotor and uncrewed surface vessels (USVs) have the potential to enable various maritime applications, including advanced sea…
A Computationally Efficient Learning-Based Model Predictive Control for Multirotors under Aerodynamic Disturbances
Babak Akbari, Melissa Greeff
Neglecting complex aerodynamic effects hinders high-speed yet high-precision multirotor autonomy. In this paper, we present a computationally efficient learning-based model predict…