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Dr Maurice Fallon

Maurice Fallon

Associate Professor in Engineering Science

Principal Investigator - Dynamic Robot Systems Group

TEL: 01865 613951

Biography

Maurice Fallon (IEEE, Senior Member) is an Associate Professor in Engineering Science and a Royal Society University Research Fellow. He leads the Dynamic Robot Systems Group (Perception). You will find more information about his research on the DRS website.

22 November 2024 - PhD/DPhil Admissions Information:
I have two funded studentships for starting in October 2025 - the details are here

His research is focused on probabilistic methods for localization and mapping. He has also made research contributions to state estimation for legged robots and is interested in dynamic motion planning and control. Of particular concern is developing methods which are robust in the most challenging situations by leveraging sensor fusion.

Dr. Fallon studied Electronic Engineering at University College Dublin. His PhD research in the field of acoustic source tracking was carried out in the Engineering Department of the University of Cambridge.

Immediately after his PhD he moved to MIT as a post-doc and later research scientist in the Marine Robotics Group (2008-2012). From 2012-2015 he was the perception lead of MIT’s team in the DARPA Robotics Challenge – a multi-year competition developing technologies for semi-autonomous humanoid exploration and manipulation in disaster situations.

After a period as a Lecturer at University of Edinburgh, he moved to Oxford and took up the Royal Society University Research Fellowship in October 2017.

He has been PI/co-I on several large UK and EU collaborative projects including ORCA, RAIN, THING, MEMMO as well as the DARPA SubT Challenge winning team CERBERUS. Current ongoing projects include the EU Horizon Europe project DigiForest as well as collaborations with UKAEA (RACE). 

Most Recent Publications

Observability-aware online multi-lidar extrinsic calibration

Observability-aware online multi-lidar extrinsic calibration

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Towards real-time forest inventory using handheld LiDAR

Towards real-time forest inventory using handheld LiDAR

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Strategies for large scale elastic and semantic LiDAR reconstruction

Strategies for large scale elastic and semantic LiDAR reconstruction

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VILENS: Visual, Inertial, Lidar, and Leg Odometry for All-Terrain Legged Robots

VILENS: Visual, Inertial, Lidar, and Leg Odometry for All-Terrain Legged Robots

Altmetric score is

Balancing the Budget: Feature Selection and Tracking for Multi-Camera Visual-Inertial Odometry

Balancing the Budget: Feature Selection and Tracking for Multi-Camera Visual-Inertial Odometry

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Publications

Dr. Fallon’s list of publications appears on Google Scholar here and on his group website here.

These publications have received best paper awards or nominations at ICRA (4 times), Intelligent Vehicles, AAAI and Humanoids conferences and over 7000 citations.

Most Recent Publications

Observability-aware online multi-lidar extrinsic calibration

Observability-aware online multi-lidar extrinsic calibration

Altmetric score is

Towards real-time forest inventory using handheld LiDAR

Towards real-time forest inventory using handheld LiDAR

Altmetric score is

Strategies for large scale elastic and semantic LiDAR reconstruction

Strategies for large scale elastic and semantic LiDAR reconstruction

Altmetric score is

VILENS: Visual, Inertial, Lidar, and Leg Odometry for All-Terrain Legged Robots

VILENS: Visual, Inertial, Lidar, and Leg Odometry for All-Terrain Legged Robots

Altmetric score is

Balancing the Budget: Feature Selection and Tracking for Multi-Camera Visual-Inertial Odometry

Balancing the Budget: Feature Selection and Tracking for Multi-Camera Visual-Inertial Odometry

Altmetric score is
View all