Christopher E. Mower
I am a Research Associate for Surgical Robot Control in
the Robotics and
Vision in Medicine (RViM) Lab with Christos Bergeles
and the Contextual Artificial Intelligence for Computer Assisted Interventions (CAI4CAI) Group
with Tom Vercauteren
within the School of Biomedical Engineering & Imaging Sciences at King's
College London where I work on robotic
surgery, human-robot collaboration, imitation
learning, and shared autonomy. I collaborate on the
FAROS (Functionally Accurate RObotic Surgery) EU Horizon 2020 project.
research goal is to develop practical methods
that allow humans to seamlessly collaborate with and transfer
human-level capabilities to robots for healthcare and assitive applications.
Previously, I was
Machine Learning and Motor Control (SLMC)
for Perception, Action and Behavior (IPAB)
of Edinburgh. I collaborated on
Horizon 2020 HARMONY project for assitive robots in healthcare and smart factory projects in association with Kawada Industries Inc., Japan. Additionally,
with The Alan Turing Institute.
I obtained a PhD in Informatics from the
University of Edinburgh under the supervision
Sethu Vijayakumar. My PhD was funded by
Group, a UK-based civil engineering firm. The PhD focused on problems in shared autonomy for robotics, motivated by the construction sector. In
the past, I spent time as a numerical software
Algorithms Group (NAG) where I analyzed
methods for restoring an estimated and invalid
correlation matrix, and authored the
method, and the documentation, for G02ANF in Fortran. I
hold two masters degrees: an MSc Computing
(Visual Information Processing) from
Imperial College London, and an MSc Applied Mathematics
with Numerical Analysis from the
University of Manchester. Additionally, I hold a BSc
Mathematics degree from the University of Sheffield.
Google Scholar  /
Email: christopher dot mower at kcl dot ac dot uk
- Dec 2022: awarded funding from the King's Global Engagement Partnership fund. This will support two visiting positions at KU Lueven, Belgium and Balgrist University Hospital, Switzerland.
- Nov 2022: released the code for the ROS-PyBullet Interface.
- Oct 2022: demonstrated some of my work in learning from demonstration, robotics, and shared autonomy to the public at
New Scientist Live, ExCeL London 2022. You can see a video of my demonstration here.
- Sept 2022: paper accepted at the Conference for Robot Learning (CoRL) 2022! Submission can be found here.
- Sept 2022: visited KU Leuven for the fourth integration week and mid-review for the EU Horizon 2020 FAROS project.
- Jul 2022: graduated from the University of Edinburgh with a PhD in Informatics .
- Jul 2022: attended Surgical and Interventional Engineering Summer School at Guy's and St. Thomas' Hospital, King's College London.
- Jun 2022: attended King's NeuroLab Teaching Sessions: Posterior lumbar spine approaches.
- May 2022: paper accepted to IEEE 2022 ICRA Workshop on Shared Autonomy in Physical Human-Robot Interaction: Adaptability and Trust.
- May 2022: started new role as Research Associate for Surgical Robot Control at King's College London.
- May 2022: finished post-doc at the University of Edinburgh.
- Feb 2022: won first prize for the best poster on "Non-prehensile Dual Arm Manipulation" at the 5th IEEE UK & Ireland RAS Conference 2022 with my colleages João Moura, Christian Rauch, Vladimir Ivan, and supervisor Sethu Vijayakumar.
- Sep 2021: started a Research Associate position at the University of Edinburgh. I will be collaborating on the European Union Horizon 2020 HARMONY project.
2021: passed the viva for my
PhD! My examiners were Professor Nick
Hawes (University of Oxford) , and Dr
Michael Herrmann (University of Edinburgh).
- Jul 2021: published paper at Robotics: Science and Systems (RSS) 2021 (virtual conference).
- Oct 2019: published paper at IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) 2019 in New Delhi, India.
- Aug 2019: published paper at IEEE International Conference on Automation Science and Engineering (CASE) 2019 in Vancouver, Canada.
- Aug 2017: published paper at IEEE International Conference on Automation Science and Engineering (CASE) 2017 (first author: Wolfgang Merkt).
- Jun 2017: awarded
the First Prize for Greatest Potential for
Positive Impact at the Robots for Resilient
Infrastructure Challenge, Leeds, UK. Project
team: Wolfgang Merkt, Theodoros Stouraitis,
- Sep 2016: started PhD Informatics at the University of Edinburgh.
- Sep 2016: graduated from Imperial College London, MSc Computing (Visual Information Processing).
- Sep 2015: graduated from the University of Manchester, MSc Applied Mathematics with Numerical Analysis.
- Sep 2012: graduated from the University of Sheffield, BSc Mathematics.
ROS-PyBullet Interface: A Framework for Reliable Contact Simulation and Human-Robot Interaction
Christopher E. Mower,
Nazanin Zamani Behabadi,
ROS-PyBullet Interface: A Framework for Reliable Contact Simulation and Human-Robot Interaction,
Proceedings of the Conference on Robot Learning (CoRL), 2022.
Robust Shared Autonomy for Mobile Manipulation with Continuous Scene Monitoring
Christopher E. Mower,
Robust Shared Autonomy for Mobile Manipulation with Continuous Scene Monitoring,
IEEE Conference on Automation Science and Engineering (CASE), Xi'an, China, 2017.
[First Prize for Greatest Potential for Positive Impact at the Robots for Resilient Infrastructure Challenge]
outreach demo  /
press (BBC)  /
press (Made In Leeds TV)  /
The following are some old projects.
Objective Assessment for Surgical Dexterity
Christopher E. Mower, Objective Assessment for Surgical Dexterity, Masters Dissertation, Imperial College London,
Supervisor: Dr Benny Lo.
Learning Catheter Paths for Cardiac Mapping
Christopher E. Mower, Learning Catheter Paths for Cardiac Mapping, Independent Study Option, Imperial College London,
Supervisor: Dr Su-Lin Lee.
Numerical Software Developer Internship at the Numerical Algorithms Group (NAG)
Supervisor: Dr Craig Lucas.
As apart of an internship at NAG, I analyzed several algorithms
for fixing invalid correlation matrices
and implemented an optimized algorithm in FORTRAN. The code was included in the
NAG Library. Furthermore, I authored the documentation and was involved with developing unit tests and example usage code.
G02ANF documentation  /
code contributor acknowledgement