In August I was awarded a place on the first UKRI Robotics & AI Accelerator programme. This program, lead by the future worlds consortium is designed to accelerate the commercialisation of commercialisation activities in the field of Robotics & AI. Myself and our team were selected for our opportunity 'Orchestrate Robotics', with the potential to develop the opportunity further and help people build better, safer robotic applications.

This programme, lead by the University of Leed, University of Sheffield and University of Manchester is a network of industry leaders, mentors and investors in the North of the UK. Our application was accepted to develop our commercial activities here in Sheffield in the field of safety and supporting the wider deployment of professional robotic systems.

In June I was awarded Associate 'Supervisionary' from the University of Sheffield's Researcher Profressional Development programme. My role as a research associate does not formally entiail teaching responsiblities and so this formal recognition from the school represents my achievements in volentarily mentoring multiple Ph.D students and postgraduate students asside from my role over the last two years.

In March our research article "Verified Synthesis of optimal safety controllers for human-robot collaboration" was awarded "Journal-First Track Award" by Formal Methods Europe in recognition as a high quality publication. The article was selected for presentation at the 25th International Symposium on Formal Methods, FM 2023.

In December I was invited by the department of Automatic Control and Systems Engineering to give a guest talk to the 2019 Cohort of final year Ph.D students as they enter their final year. The talk looked at the challenges of completing a Ph.D as a fellow graduate, aswell as hicups that can arrise. This talk was a great opportunity to share the highs and lows of the Ph.D journey from my own prospective and utilise my own experience in academic and industrial research.

In October, our submission to Computer Graphics & Visual Computing (CGVC) entitled "Augmented Reality for Safety Zones in Human-Robot Collaboration" was awarded the best student application paper award. You can read the paper here

In 2021 I received two nominations during Postdoc Appeciation week 2021, for outstanding contribution to the Confident Safety Integration (CSI) project and the development of the framework therein. You can visit the nomination page:here

In 2021 a testimonial on my experience of mentoring Ph.D students through the toughest part of the project.. the thesis.. was featured in the University of Sheffield's Doctoral Times news and higher education magazine. The article aims to shed some light on some of the challenges students face along the way and share some advice that I believe I would have found helpful at the time. You can see the article here

Invited to contribute toward a new advanced topics module RAS1: Safety of Robotics and Autonomous Systems (RAS). The lecture, entitled "Digital Twinning For Industrial Safety", draws upon the use of digital twins in modern instustrial environments as a method of process verification and safety analysis. The module will be delievered to undergraduate students studying robotics and safety critical systems at the University of York from 2021.

Enrolled as a voluntary mentor as part of the Thesis Mentoring Programme identified as an excellent opportunity to support Ph.D students within the school of mechanical engineering at the University Of Sheffield.

In 2022, our submission to Computer Graphics & Visual Computing (CGVC) entitled "Augmented Reality for Safety Zones in Human-Robot Collaboration" was awarded the Best Student Application paper. See here.

In 2022, our application to assess the feasiability of multi-instancing our digital twin framework on tier-two hardware was successful. The "Many-worlds" project seeks to examine how high-performance clusters can be utiltised to enhance the capabilties of digital-twins here at Sheffield.

In 2022, our application for challenge one of the LongOps funding bid was accepted. This project seeks to examine the use of digital-twins in the processes of nuclear decommissioning as a collaboration between the Sheffield Robotics and the Advanced Manufacturing Research Centre (AMRC).