activity
20162023
most citedVoxblox: Incremental 3D Euclidean Signed Distance Fields for On-Board MAV Planning

652 citations · 1.2k across the 9 of their papers we have counts for

collaborators

13 papers

cs.RO2023★ 1 cited

Versatile Airborne Ultrasonic NDT Technologies via Active Omni-Sliding with Over-Actuated Aerial Vehicles

Tong Hui, Florian Braun, Nicolas Scheidt +2

This paper presents the utilization of advanced methodologies in aerial manipulation to address meaningful industrial applications and develop versatile ultrasonic Non-Destructive…

cs.RO2023★ 71 cited

maplab 2.0 -- A Modular and Multi-Modal Mapping Framework

Andrei Cramariuc, Lukas Bernreiter, Florian Tschopp +5

Integration of multiple sensor modalities and deep learning into Simultaneous Localization And Mapping (SLAM) systems are areas of significant interest in current research. Multi-m…

cs.RO2022★ 2 cited

CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge

Marco Tranzatto, Frank Mascarich, Lukas Bernreiter +38

Autonomous exploration of subterranean environments constitutes a major frontier for robotic systems as underground settings present key challenges that can render robot autonomy h…

cs.RO2021

3D3L: Deep Learned 3D Keypoint Detection and Description for LiDARs

Dominic Streiff, Lukas Bernreiter, Florian Tschopp +2

With the advent of powerful, light-weight 3D LiDARs, they have become the hearth of many navigation and SLAM algorithms on various autonomous systems. Pointcloud registration metho…

cs.RO2019★ 30 cited

VersaVIS: An Open Versatile Multi-Camera Visual-Inertial Sensor Suite

Florian Tschopp, Michael Riner, Marius Fehr +7

Robust and accurate pose estimation is crucial for many applications in mobile robotics. Extending visual Simultaneous Localization and Mapping (SLAM) with other modalities such as…

cs.RO2019

Predicting Unobserved Space For Planning via Depth Map Augmentation

Marius Fehr, Tim Taubner, Yang Liu +2

Safe and efficient path planning is crucial for autonomous mobile robots. A prerequisite for path planning is to have a comprehensive understanding of the 3D structure of the robot…