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Matthew Budd
Contact Me
linkedin.com/in/matthew-budd
mbudd@robots.ox.ac.uk
@m_budd
+44 (0) 7825 795410
London // Oxford
Curriculum Vitae
View online
"Graphic Design is my Passion"
About me
With thanks to github.com/ariutta/svg-pan-zoom and numerous other open-source tools,
including the well-known WYSIWYG web design tool, KiCAD [www.kicad-pcb.org].
github.com/matbudd
Interesting Links
They all said I was crazy! A whole website in an
SVG image? They all said it couldn't be done!
Well, look who's laughing now!
Publications
• Model-based sequential decision making
• Meta-reasoning for compute constraints and time-varying environments
• Bayesian / probabilistic reinforcement learning
• Markov decision process safe exploration
• Formal methods
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I started on a PhD at the Oxford Robotics Institute in
2020. Since then I've worked with robots that have
arms, legs, wheels, and propellors.
I was previously the manipulation team leader of
Team
ORIon
, competing in RoboCup in 2019 (
Sydney
) and
2022 (
Thailand
, where I was also acting team leader).
Between 2016 and 2020 I undertook an MEng in
Oxford's Engineering Department, specialising in
information engineering, microelectronics, control
theory, and mathematical methods.
I received an
IET Diamond Jubilee engineering
scholarship
for the duration of my undergraduate
degree. In this time I also worked in an embedded
software engineering role at Cambridge Consultants,
as part of their
Technology Scholar programme
.
I enjoy technical leadership and running my own
electronic engineering mini-projects. These include
leading a team of ~15 undergraduates to design, build
and program a "
Mars rover
" robot, and launching a
high-altitude balloon scientific payload
to 20km+
altitude.
Outside of work, I enjoy swimming and indoor
bouldering.
2020
1.
2024
2023
2022
1.
2021
1.
1.
RoboCup Bangkok 2022
Oxford Robotics Institute coverage
RoboCup Sydney, 2019
Oxford Robotics Institute news item
Pembroke College news item
MEng Master's Project, 2020
Thesis
Mars Rover Competition, 2018-19
Engineering department news item
Critical Design Review document
Competition site
CERN Large Hadron Collider
instrumentation group design
project, 2018-19
Final presentation
(presented to Beam Instrumentation
Group at CERN in Geneva)
Final technical report
RoboSerf project at Cambridge
Consultants, 2015
News item
Budd, M., Duckworth, P., Hawes, N., & Lacerda, B. (2023,
March). Bayesian reinforcement learning for single-
episode missions in partially unknown environments.
6th
Annual Conference on Robot Learning (CoRL).
1.
Budd, M., Lacerda, B., & Hawes, N. (2024, February).
Stop! Planner Time
: Metareasoning for
Probabilistic
Planning Using Learned Performance
Profiles.
38th
AAAI Conference on Artificial
Intelligence (AAAI)
.
Budd, M., Salavasidis, G., Kamarudzaman, I., Harris, C. A.,
Phillips, A. B., Hawes, N., Duckworth, P., & Lacerda, B.
(2022, October). Probabilistic Planning for AUV Data
Harvesting from Smart Underwater Sensor Networks.
IEEE/RSJ International Conference on Intelligent Robots
and Systems (IROS).
Budd, M., Duckworth, P., Hawes, N., & Lacerda, B. (2021,
August). Mission Planning in Unknown Environments as
Bayesian Reinforcement Learning.
IJCAI’21 Workshop on
Robust and Reliable Autonomy in the Wild (R2AW).
Budd, M., Lacerda, B., Duckworth, P., West, A., Lennox, B.,
& Hawes, N. (2020, October). Markov Decision Processes
with Unknown State Feature Values for Safe Exploration
using Gaussian Processes.
IEEE/RSJ International
Conference on Intelligent Robots and Systems (IROS).
I am a PhD student in the Oxford Robotics Institute.
As a member of the
Goal-Oriented Long-Lived
Systems (GOALS) lab
, I am particularly
interested
in the
real-world deployment
of
robotic systems
that act under uncertainty with
realistic resource
constraints. Areas of interest
within robotics
include:
2.
Stephens, A.*, Budd, M.*, Staniaszek, M., Casseau, B.,
Duckworth, P., Fallon, M., Hawes, N., & Lacerda, B.
Planning under uncertainty for safe robot exploration
using Gaussian process prediction.
Autonomous Robots volume 48.
(* equal
contribution)