533 citations · 1.8k across the 55 of their papers we have counts for
128 papers
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…
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…
Baking in the Feature: Accelerating Volumetric Segmentation by Rendering Feature Maps
Kenneth Blomqvist, Lionel Ott, Jen Jen Chung +1
Methods have recently been proposed that densely segment 3D volumes into classes using only color images and expert supervision in the form of sparse semantically annotated pixels.…
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…
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…
Power-based Safety Layer for Aerial Vehicles in Physical Interaction using Lyapunov Exponents
Eugenio Cuniato, Nicholas Lawrance, Marco Tognon +1
As the performance of autonomous systems increases, safety concerns arise, especially when operating in non-structured environments. To deal with these concerns, this work presents…