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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

LiSTA: geometric object-based change detection in cluttered environments

LiSTA: geometric object-based change detection in cluttered environments

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Tree instance segmentation and traits estimation for forestry environments exploiting LiDAR data collected by mobile robots

Tree instance segmentation and traits estimation for forestry environments exploiting LiDAR data collected by mobile robots

Altmetric score is

Language-EXtended Indoor SLAM (LEXIS): a versatile system for real-time visual scene understanding

Language-EXtended Indoor SLAM (LEXIS): a versatile system for real-time visual scene understanding

Altmetric score is

SiLVR: scalable Lidar-visual reconstruction with neural radiance fields for robotic inspection

SiLVR: scalable Lidar-visual reconstruction with neural radiance fields for robotic inspection

Altmetric score is

Planning under uncertainty for safe robot exploration using Gaussian process prediction

Planning under uncertainty for safe robot exploration using Gaussian process prediction

Altmetric score is
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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

LiSTA: geometric object-based change detection in cluttered environments

LiSTA: geometric object-based change detection in cluttered environments

Altmetric score is

Tree instance segmentation and traits estimation for forestry environments exploiting LiDAR data collected by mobile robots

Tree instance segmentation and traits estimation for forestry environments exploiting LiDAR data collected by mobile robots

Altmetric score is

Language-EXtended Indoor SLAM (LEXIS): a versatile system for real-time visual scene understanding

Language-EXtended Indoor SLAM (LEXIS): a versatile system for real-time visual scene understanding

Altmetric score is

SiLVR: scalable Lidar-visual reconstruction with neural radiance fields for robotic inspection

SiLVR: scalable Lidar-visual reconstruction with neural radiance fields for robotic inspection

Altmetric score is

Planning under uncertainty for safe robot exploration using Gaussian process prediction

Planning under uncertainty for safe robot exploration using Gaussian process prediction

Altmetric score is
View all