My Group

I am very fortunate to work with the following remarkable students.

PhD Students

Nikola Radulov

Since October 2023
Research Areas: Robot Learning, Robot Manipulation, Sim-to-real, Reinforcement Learning
Co-supervised with Andy Cooper

Anna Kisil

Since October 2023
Research Areas: Human-Robot Interaction, Safe Robot Manipulation, Reinforcement Learning with Human Feedback
Co-supervised with Bei Peng

Cenk Cetin

Since October 2024
Research Areas: Robot Skill Learning, Contact-rich Robot Manipulation
Co-supervised with Anthony Bradley

Laura Jones

Since October 2024
Research Areas: Safe Robot Manipulation
Co-supervised with Andy Cooper

UG/MSc Alumni

• Chenxi Liu, Exploring RLHF Methods to Improve Robotic Chemists, Summer Research Programme, 2024 (Co-advised with Anna Kisil).

• Seung Jegal, Bridging Material Science with ML for Improving Robotic Chemists, Summer Research Programme, 2024 (Co-advised with Nikola Radulov).

• Jeeyeoun Chae, Benchmarking Model-Free Deep Reinforcement Learning Algorithms for Laboratory Tasks, Summer Research Programme, 2023.

• Marcus Hom, Creating Your Simulated Laboratory Robot Companion, Summer Research Programme, 2023.

• Daniel Hatcher, Creating Your Simulated Laboratory Robot Companion, Summer Research Programme, 2023.

• Hetong Wang, Robot Skill Learning for Chemistry Labs, Leverhulme Research Centre Summer Research Internship, 2022 (Co-advised with Andy Cooper).

• Yixin Cai, Vision-guided Robotic Manipulation for Error Correction in a Materials Discovery Laboratory, Leverhulme Research Centre Summer Research Internship, 2021 (Co-advised with Andy Cooper).

• David Jorge, Online Inverse Dynamics Learning Using Sparse Gaussian Processes, MInf at the University of Edinburgh, 2020-2022 (Co-advised with Michael Mistry).

• Guangyu Yang, Inverse Dynamics Model Learning Using Neural Networks, MSc at the University of Edinburgh, 2019-2020 (Co-advised with Michael Mistry).

I am always looking to work with and help underrepresented groups in STEM fields, particularly in the field of robotics (robot learning, manipulation, robot vision) for real-world applications, primarily in Chemistry/material discovery laboratories; please email me directly if you would like to work on projects in our Autonomous Robotic Chemistry Lab or you are trying to find a project related to the ones I have previously supervised.