activity
20172026
most citedAn Efficient Sampling-based Method for Online Informative Path Planning in Unknown Environments

306 citations · 619 across the 18 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.RO2023

To Fuse or Not to Fuse: Measuring Consistency in Multi-Sensor Fusion for Aerial Robots

Christian Lanegger, Helen Oleynikova, Michael Pantic +2

Aerial vehicles are no longer limited to flying in open space: recent work has focused on aerial manipulation and up-close inspection. Such applications place stringent requirement…

cs.RO2023

Learning to Fly Omnidirectional Micro Aerial Vehicles with an End-To-End Control Network

Eugenio Cuniato, Olov Andersson, Helen Oleynikova +2

Overactuated tilt-rotor platforms offer many advantages over traditional fixed-arm drones, allowing the decoupling of the applied force from the attitude of the robot. This expands…

cs.RO2023

Soliro -- a hybrid dynamic tilt-wing aerial manipulator with minimal actuators

Michael Pantic, Elias Hampp, Ramon Flammer +4

The ability to enter in contact with and manipulate physical objects with a flying robot enables many novel applications, such as contact inspection, painting, drilling, and sample…

cs.RO2023

Chasing Millimeters: Design, Navigation and State Estimation for Precise In-flight Marking on Ceilings

Christian Lanegger, Michael Pantic, Rik Bähnemann +2

Precise markings for drilling and assembly are crucial, laborious construction tasks. Aerial robots with suitable end-effectors are capable of markings at the millimeter scale. How…

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…