Design of an Autonomous Racecar: Perception, State Estimation and System Integration. - Miguel de la Iglesia Valls; Hubertus Franciscus Cornelis Hendrikx; Victor J. F. Reijgwart; Fabio Vito Meier; Inkyu Sa; Renaud Dubé; Abel Gawel; Mathias Bürki; Roland Siegwart (ICRA, 2018)

Accurate Mapping and Planning for Autonomous Racing. - Leiv Andresen; Adrian Brandemuehl; Alex Hönger; Benson Kuan; Niclas Vödisch; Hermann Blum; Victor Reijgwart; Lukas Bernreiter; Lukas Schaupp; Jen Jen Chung; Mathias Bürki; Martin R. Oswald; et al. (IROS, 2020)

Fast and Accurate Mapping for Autonomous Racing. - Leiv Andresen; Adrian Brandemuehl; Alex Hönger; Benson Kuan; Niclas Vödisch; Hermann Blum; Victor Reijgwart; Lukas Bernreiter; Lukas Schaupp; Jen Jen Chung; Mathias Bürki; Martin R. Oswald; et al. (CoRR, 2020)

AMZ Driverless: The full autonomous racing system. - Juraj Kabzan; Miguel de la Iglesia Valls; Victor J. F. Reijgwart; Hubertus Franciscus Cornelis Hendrikx; Claas Ehmke; Manish Prajapat; Andreas Bühler; Nikhil Bharadwaj Gosala; Mehak Gupta; Ramya Sivanesan; Ankit Dhall; Eugenio Chisari; et al. (J. Field Robotics, 2020)

Voxgraph: Globally Consistent, Volumetric Mapping Using Signed Distance Function Submaps. - Victor Reijgwart; Alexander Millane; Helen Oleynikova; Roland Siegwart; Cesar Cadena 001; Juan I. Nieto 001 (IEEE Robotics Autom. Lett., 2020)

End-to-End Velocity Estimation for Autonomous Racing. - Sirish Srinivasan; Inkyu Sa; Alex Zyner; Victor Reijgwart; Miguel de la Iglesia Valls; Roland Siegwart (IEEE Robotics Autom. Lett., 2020)

Voxplan: A 3D Global Planner using Signed Distance Function Submaps. - Laura Gasser; Alexander Millane; Victor Reijgwart; Rik Bähnemann; Roland Siegwart (ICRA, 2021)

Dynamic Object Aware LiDAR SLAM based on Automatic Generation of Training Data. - Patrick Pfreundschuh; Hubertus Franciscus Cornelis Hendrikx; Victor Reijgwart; Renaud Dubé; Roland Siegwart; Andrei Cramariuc (ICRA, 2021)

A Unified Approach for Autonomous Volumetric Exploration of Large Scale Environments Under Severe Odometry Drift. - Lukas Schmid 001; Victor Reijgwart; Lionel Ott; Juan I. Nieto 001; Roland Siegwart; César Cadena 001 (IEEE Robotics Autom. Lett., 2021)

Autonomous Teamed Exploration of Subterranean Environments using Legged and Aerial Robots. - Mihir Kulkarni; Mihir Dharmadhikari; Marco Tranzatto; Samuel Zimmermann; Victor Reijgwart; Paolo De Petris; Huan Nguyen 003; Nikhil Khedekar; Christos Papachristos; Lionel Ott; Roland Siegwart; Marco Hutter 001; et al. (ICRA, 2022)

Incremental 3D Scene Completion for Safe and Efficient Exploration Mapping and Planning. - Lukas Schmid 001; Mansoor Nasir Cheema; Victor Reijgwart; Roland Siegwart; Federico Tombari; César Cadena 001 (CoRR, 2022)

CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge. - Marco Tranzatto; Frank Mascarich; Lukas Bernreiter; Carolina Godinho; Marco Camurri; Shehryar Khattak; Tung Dang; Victor Reijgwart; Johannes Loeje; David Wisth; Samuel Zimmermann; Huan Nguyen 003; et al. (Field Robotics, 2022)

Efficient volumetric mapping of multi-scale environments using wavelet-based compression. - Victor Reijgwart; Cesar Cadena 001; Roland Siegwart; Lionel Ott (Robotics: Science and Systems, 2023)

maplab 2.0 - A Modular and Multi-Modal Mapping Framework. - Andrei Cramariuc; Lukas Bernreiter; Florian Tschopp; Marius Fehr; Victor Reijgwart; Juan I. Nieto 001; Roland Siegwart; Cesar Cadena 001 (IEEE Robotics Autom. Lett., 2023)

Waverider: Leveraging Hierarchical, Multi-Resolution Maps for Efficient and Reactive Obstacle Avoidance. - Victor Reijgwart; Michael Pantic; Roland Siegwart; Lionel Ott (ICRA, 2024)

Framework for Robust Localization of UUVs and Mapping of Net Pens. - David Botta; Luca Ebner; Andrej Studer; Victor Reijgwart; Roland Siegwart; Eleni Kelasidi (CoRR, 2024)

Obstacle-Avoidant Leader Following with a Quadruped Robot. - Carmen Scheidemann; Lennart Werner; Victor Reijgwart; Andrei Cramariuc; Joris Chomarat; Jia-Ruei Chiu; Roland Siegwart; Marco Hutter 001 (CoRR, 2024)

Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned. - Marco Tranzatto; Mihir Dharmadhikari; Lukas Bernreiter; Marco Camurri; Shehryar Khattak; Frank Mascarich; Patrick Pfreundschuh; David Wisth; Samuel Zimmermann; Mihir Kulkarni; Victor Reijgwart; Benoit Casseau; et al. (Field Robotics, 2024)

Leveraging learned monocular depth prediction for pose estimation and mapping on unmanned underwater vehicles. - Marco Job; David Botta; Victor Reijgwart; Luca Ebner; Andrej Studer; Roland Siegwart; Eleni Kelasidi (Frontiers Robotics AI, 2025)