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Rik Bähnemann

7 accepted papers

2023

A Perching and Tilting Aerial Robot for Precise and Versatile Power Tool Work on Vertical Walls

IROS 2023poster

Drilling, grinding, and setting anchors on vertical walls are fundamental processes in everyday construction work. Manually doing these works is error-prone, potentially dangerous, and elaborate at height. Today, heavy mobile ground robots can perform automatic power tool work. However, aerial vehic…

Cited by 14SourceScholar
2023

Fisher Information Based Active Planning for Aerial Photogrammetry

ICRA 2023poster

Small uncrewed aerial systems (sUASs) are useful tools for 3D reconstruction due to their speed, ease of use, and ability to access high-utility viewpoints. Today, most aerial survey approaches generate a preplanned coverage pattern assuming a planar target region. However, this is inefficient since…

Cited by 10SourceScholar
2023

Obstacle avoidance using Raycasting and Riemannian Motion Policies at kHz rates for MAVs

ICRA 2023poster

This paper presents a novel method for using Riemannian Motion Policies on volumetric maps, shown in the example of obstacle avoidance for Micro Aerial Vehicles (MAVs), Today, most robotic obstacle avoidance algorithms rely on sampling or optimization-based planners with volumetric maps. However, th…

Cited by 16SourcecodeScholar
2023

Resilient Terrain Navigation with a 5 DOF Metal Detector Drone

ICRA 2023poster

Micro aerial vehicles (MAVs) hold the potential for performing autonomous and contactless land surveys for the detection of landmines and explosive remnants of war (ERW). Metal detectors are the standard detection tool but must be operated close to and parallel to the terrain. A successful combinati…

Cited by 3SourceScholar
2021

Voxplan: A 3D Global Planner using Signed Distance Function Submaps

ICRA 2021poster

The ability to safely navigate through complex and cluttered environments is required for a wide range of robotics applications. This paper introduces a framework to compute safe global paths in maps represented as collections of 3D Signed Distance Function (SDF) submaps. Such maps are able to maint…

Cited by 3SourceScholar
2018

History-Aware Autonomous Exploration in Confined Environments Using MAVs

IROS 2018poster

Many scenarios require a robot to be able to explore its 3D environment online without human supervision. This is especially relevant for inspection tasks and search and rescue missions. To solve this high-dimensional path planning problem, sampling-based exploration algorithms have proven successfu…

Cited by 109SourceScholar
2017

Sampling-based motion planning for active multirotor system identification

ICRA 2017poster

This paper reports on an algorithm for planning trajectories that allow a multirotor micro aerial vehicle (MAV) to quickly identify a set of unknown parameters. In many problems like self calibration or model parameter identification some states are only observable under a specific motion. These mot…

Cited by 21SourceScholar