Danylo Malyuta — accepted AI-conference papers

2019

Real-Time Quad-Rotor Path Planning Using Convex Optimization and Compound State-Triggered Constraints

Michael Szmuk, Danylo Malyuta, Taylor P. Reynolds, Margaret Skye Mceowen, Behçet Açikmeşe

IROS 2019poster

The contribution of this paper is the application of compound state-triggered constraints (STCs) to real-time quadrotor path planning. Originally developed for rocket landing applications, STCs are made up of a trigger condition and a constraint condition that are arranged such that satisfaction of…

Cited by 41 Source ↗Scholar ↗

2018

Long-Duration Autonomy for Small Rotorcraft UAS Including Recharging

Christian Brommer, Danylo Malyuta, Daniel Hentzen, Roland Brockers

IROS 2018poster

Many unmanned aerial vehicle surveillance and monitoring applications require observations at precise locations over long periods of time, ideally days or weeks at a time (e.g. ecosystem monitoring), which has been impractical due to limited endurance and the requirement of humans in the loop for op…

Cited by 53 Source ↗Scholar ↗