2 papers
cs.RO2024
Pushing the Limits of Reactive Planning: Learning to Escape Local Minima
Isar Meijer, Michael Pantic, Helen Oleynikova +1
When does a robot planner need a map? Reactive methods that use only the robot's current sensor data and local information are fast and flexible, but prone to getting stuck in loca…
cs.RO2023
Obstacle avoidance using raycasting and Riemannian Motion Policies at kHz rates for MAVs
Michael Pantic, Isar Meijer, Rik Bähnemann +5
In this paper, we present a novel method for using Riemannian Motion Policies on volumetric maps, shown in the example of obstacle avoidance for Micro Aerial Vehicles (MAVs). While…