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3D Reconstruction | Legged Robot Navigation | Forest Mapping | LiDAR Mapping

Recent Projects

2026ARXIV_rhee

Foundation VIO: Enforcing Metric Scale in Feed-forward Visual-Inertial Odometry. Jin Rhee, Yuhao Zhang, Frank Dellaert, Maurice Fallon, 2026.
Paper   Webpage  

3D Reconstruction

2025IROS_wang

PlanarMesh: Building Compact 3D Meshes from LiDAR using Incremental Adaptive Resolution Reconstruction. Jiahao Wang, Nived Chebrolu, Yifu Tao, Lintong Zhang, Ayoung Kim, Maurice Fallon, IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025.
Paper   Video   Webpage  

2025ARXIV_munozbanon

Sapling-NeRF: Geo-Localised Sapling Reconstruction in Forests for Ecological Monitoring. Miguel Muñoz-Bañón, Nived Chebrolu, Sruthi Moorthy, Yifu Tao, Fernando Torres, Roberto Salguero-Gómez, Maurice Fallon, ArXiv preprint, 2025.
Paper   Video   Webpage  

Legged Robot Navigation

2020Frontiers_camurri

Pronto: a Multi-Sensor State Estimator for Legged Robots in Real World Scenarios. Marco Camurri, Milad Ramezani, Simona Nobili, Maurice Fallon, Frontiers in Robotics and AI, 2020.
Paper   Webpage   Webpage  

Forest Mapping

As part of the DigiForest project, we are working on new systems to autonomously build forest inventories with legged platforms, which we have deployed in the UK, Finland, and Switzerland

2024IROS_oh

Evaluation and Deployment of LiDAR-based Place Recognition in Dense Forests. Haedam Oh, Nived Chebrolu, Matias Mattamala, Leonard Freissmuth, Maurice Fallon, IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2024.
Paper   Video  

2025TFR_mattamala

Building Forest Inventories With Autonomous Legged Robots—System, Lessons, and Challenges Ahead. Matías Mattamala, Nived Chebrolu, Jonas Frey, Leonard Freißmuth, Haedam Oh, Benoit Casseau, Marco Hutter, Maurice Fallon, IEEE Transactions on Field Robotics, 2025.
Paper   Video  

2024IROS_freissmuth

Online Tree Reconstruction and Forest Inventory on a Mobile Robotic System. Leonard Freissmuth, Matias Mattamala, Nived Chebrolu, Simon Schaefer, Stefan Leutenegger, Maurice Fallon, IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2024.
Paper   Video  

2024IROS_casseau

Markerless Aerial-Terrestrial Co-Registration of Forest Point Cloudsusing a Deformable Pose Graph. Benoit Casseau, Nived Chebrolu, Matias Mattamala, Leonard Freissmuth, Maurice Fallon, IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2024.
Paper  

LiDAR Mapping

2025TRO_tao

SiLVR: Scalable Lidar-Visual Radiance Field Reconstruction With Uncertainty Quantification. Yifu Tao, Maurice Fallon, IEEE Transactions on Robotics, 2025.
Paper   Video  

2020ICRA_ramezani

Online LiDAR-SLAM for Legged Robots with Robust Registration and Deep-Learned Loop Closure. Milad Ramezani, Georgi Tinchev, Egor Iuganov, Maurice Fallon, IEEE Robotics and Automation Letters, 2020.
Paper   Video  

Visual Navigation

2026AURO_zhang

Visual localization in 3D maps: comparing point cloud, mesh, and NeRF representations. Lintong Zhang, Yifu Tao, Jiarong Lin, Fu Zhang, Maurice Fallon, Autonomous Robotics, 2026.
Paper   Video   Webpage  

2021ICRA_mattamala

Learning Camera Performance Models for Active Multi-Camera Visual Teach and Repeat. Matias Mattamala, Milad Ramezani, Marco Camurri, Maurice Fallon, IEEE Intl. Conf. on Robotics and Automation (ICRA), 2021.
Paper   Video  

2025AURO_mattamala

Wild Visual Navigation: Fast Traversability Learning via Pre-Trained Models and Online Self-Supervision. Matias Mattamala, Jonas Frey, Piotr Libera, Nived Chebrolu, Georg Martius, Cesar Cadena, Marco Hutter, Maurice Fallon, Autonomous Robots, 2025.
Paper  

2023RSS_frey

Fast Traversability Estimation for Wild Visual Navigation. Jonas Frey, Matias Mattamala, Nived Chebrolu, Cesar Cadena, Maurice Fallon, Marco Hutter, Robotics: Science and Systems (RSS), 2023.
Paper   Video   Webpage  

2022RAL_mattamala

An Efficient Locally Reactive Controller for Safe Navigation in Visual Teach and Repeat Missions. Matias Mattamala, Nived Chebrolu, Maurice Fallon, IEEE Robotics and Automation Letters, 2022.
Paper   Video  

Underground Exploration

During 2018-2021 we were part of Team CERBERUS in the DARPA Subterranean (SubT) Challenge. This motivated research on state estimation, exploration, and safe navigation with quadruped robots in underground environments.

2024FRJ_tranzatto

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, Timon Homberger, Paolo Petris, Lionel Ott, Wayne Tubby, Gabriel Waibel, Huan Nguyen, Cesar Cadena, Russell Buchanan, Lorenz Wellhausen, Nikhil Khedekar, Olov Andersson, Lintong Zhang, Takahiro Miki, Tung Dang, Matias Mattamala, Markus Montenegro, Konrad Meyer, Xiangyu Wu, Adrien Briod, Mark Mueller, Maurice Fallon, Roland Siegwart, Marco Hutter, Kostas Alexis, Field Robotics Journal, 2022.
Paper   Video   Webpage  

2022FRJ_tranzatto

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, Marius Fehr, Lukas Solanka, Russell Buchanan, Marko Bjelonic, Nikhil Khedekar, Mathieu Valceschini, Fabian Jenelten, Mihir Dharmadhikari, Timon Homberger, Paolo Petris, Lorenz Wellhausen, Mihir Kulkarni, Takahiro Miki, Satchel Hirsch, Markus Montenegro, Christos Papachristos, Fabian Tresoldi, Jan Carius, Giorgio Valsecchi, Joonho Lee, Konrad Meyer, Xiangyu Wu, Juan Nieto, Andy Smith, Marco Hutter, Roland Siegwart, Mark Mueller, Maurice Fallon, Kostas Alexis, Field Robotics Journal, 2022.
Paper   Video   Webpage  

2020IROS_buchanan

Haptic Sequential Monte Carlo Localization for Quadrupedal Locomotion in Vision-Denied Scenarios. Russell Buchanan, Marco Camurri, Maurice Fallon, IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2020.
Paper   Video  

Industrial Inspection

As part of our contributions within the ORCA Project (2017-2022), we developed vision- and LiDAR-based navigation systems for legged platforms in industrial facilities.

2020ICRA_wang

Actively Mapping Industrial Structures with Information Gain-Based Planning on a Quadruped Robot. Yiduo Wang, Milad Ramezani, Maurice Fallon, IEEE Intl. Conf. on Robotics and Automation (ICRA), 2020.
Paper   Video  

2024TFR_border

Osprey: Multi-Session Autonomous Aerial Mapping with LiDAR-based SLAM and Next Best View Planning. Rowan Border, Nived Chebrolu, Yifu Tao, Jonathan Gammell, Maurice Fallon, IEEE Transactions on Field Robotics, 2024.
Video   Webpage  

Misc Projects

Collaborative Projects

DRS has been project partners in a variety of collaborative research projects with partners from across the UK, Europe as well as the US, Korea and other places.

Some specific collaborative projects include:

Collaborators in these projects included Seoul National University (Kim), Sogang University, KEIT, MIT (Carlone), ETH Zurich (Cadena, Leutenegger, Hutter), Bonn (Stachniss), NTNU (Alexis), LAAS Toulouse (Gepetto Group), Edinburgh (Vijayakumar), University of Manchester (Lennox, Watson) and Heriot Watt University.