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20202025
most citedResidual Dynamics Learning for Trajectory Tracking for Multi-rotor Aerial Vehicles

16 citations · 32 across the 11 of their papers we have counts for

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cs.RO2020

Path Planning Followed by Kinodynamic Smoothing for Multirotor Aerial Vehicles (MAVs)

Geesara Kulathunga, Dmitry Devitt, Roman Fedorenko +2

We explore path planning followed by kinodynamic smoothing while ensuring the vehicle dynamics feasibility for MAVs. We have chosen a geometrically based motion planning technique…

cs.RO2020★ 7 cited

Real-Time Long Range Trajectory Replanning for MAVs in the Presence of Dynamic Obstacles

Geesara Kulathunga, Roman Fedorenko, Sergey Kopylov +1

Real-time long-range local planning is a challenging task, especially in the presence of dynamics obstacles. We propose a complete system which is capable of performing the local r…