activity
20162022
most citedSegMap: Segment-based mapping and localization using data-driven descriptors

209 citations · 601 across the 21 of their papers we have counts for

collaborators

54 papers

cs.RO20222 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.CV20213 cited

Superquadric Object Representation for Optimization-based Semantic SLAM

Florian Tschopp, Juan Nieto, Roland Siegwart +1

Introducing semantically meaningful objects to visual Simultaneous Localization And Mapping (SLAM) has the potential to improve both the accuracy and reliability of pose estimates,…

cs.RO2021

SemSegMap- 3D Segment-Based Semantic Localization

Andrei Cramariuc, Florian Tschopp, Nikhilesh Alatur +6

Localization is an essential task for mobile autonomous robotic systems that want to use pre-existing maps or create new ones in the context of SLAM. Today, many robotic platforms…

cs.CV2021

TSDF++: A Multi-Object Formulation for Dynamic Object Tracking and Reconstruction

Margarita Grinvald, Federico Tombari, Roland Siegwart +1

The ability to simultaneously track and reconstruct multiple objects moving in the scene is of the utmost importance for robotic tasks such as autonomous navigation and interaction…

cs.RO2021

Crowd against the machine: A simulation-based benchmark tool to evaluate and compare robot capabilities to navigate a human crowd

Fabien Grzeskowiak, David Gonon, Daniel Dugas +7

The evaluation of robot capabilities to navigate human crowds is essential to conceive new robots intended to operate in public spaces. This paper initiates the development of a be…

cs.RO2021

Mesh Manifold based Riemannian Motion Planning for Omnidirectional Micro Aerial Vehicles

Michael Pantic, Lionel Ott, Cesar Cadena +2

This paper presents a novel on-line path planning method that enables aerial robots to interact with surfaces. We present a solution to the problem of finding trajectories that dri…