activity
20162026
most citedControl of a Quadrotor with Reinforcement Learning

533 citations · 2.5k across the 94 of their papers we have counts for

collaborators
Showing 2022 · cs.ROShow all

28 papers · 2 filters

cs.RO2022★ 4 cited

Resilient Terrain Navigation with a 5 DOF Metal Detector Drone

Patrick Pfreundschuh, Rik Bähnemann, Tim Kazik +3

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 det…

cs.RO2022★ 2 cited

A Multi-Segment, Soft Growing Robot with Selective Steering

Alexander M. Kübler, Sebastián Urdaneta Rivera, Frances B. Raphael +3

Everting, soft growing vine robots benefit from reduced friction with their environment, which allows them to navigate challenging terrain. Vine robots can use air pouches attached…

cs.RO2022

A Framework for Collaborative Multi-Robot Mapping using Spectral Graph Wavelets

Lukas Bernreiter, Shehryar Khattak, Lionel Ott +3

The exploration of large-scale unknown environments can benefit from the deployment of multiple robots for collaborative mapping. Each robot explores a section of the environment a…

cs.RO2022

SphNet: A Spherical Network for Semantic Pointcloud Segmentation

Lukas Bernreiter, Lionel Ott, Roland Siegwart +1

Semantic segmentation for robotic systems can enable a wide range of applications, from self-driving cars and augmented reality systems to domestic robots. We argue that a spherica…

cs.RO2022

On the programming effort required to generate Behavior Trees and Finite State Machines for robotic applications

Matteo Iovino, Julian Förster, Pietro Falco +3

In this paper we provide a practical demonstration of how the modularity in a Behavior Tree (BT) decreases the effort in programming a robot task when compared to a Finite State Ma…

cs.RO2022★ 3 cited

SC-Explorer: Incremental 3D Scene Completion for Safe and Efficient Exploration Mapping and Planning

Lukas Schmid, Mansoor Nasir Cheema, Victor Reijgwart +3

Exploration of unknown environments is a fundamental problem in robotics and an essential component in numerous applications of autonomous systems. A major challenge in exploring u…