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Dmitry Devitt

2 accepted papers

2022

Optimization-Based Trajectory Tracking Approach for Multi-Rotor Aerial Vehicles in Unknown Environments

RA-L 2022

The goal of this paper is to develop a continuous optimization-based refinement of the reference trajectory to ‘push it out’ of the obstacle-occupied space in the global phase for Multi-rotor Aerial Vehicles in unknown environments. Our proposed approach comprises two planners: a global planner and

Cited by 17SourcecodeScholar
2021

Fast Sampling-based Next-Best-View Exploration Algorithm for a MAV

ICRA 2021poster

In this work, we present a new exploration algorithm for Micro Aerial Vehicles (MAVs). The planner uses a combination of Next-Best-View (NBV) sampling and frontier-based approaches to reduce the impact of finding unexplored areas in large scenarios. For each sampled point, the yaw angle is optimized…

Cited by 43SourceScholar