My Group
I am very fortunate to work with the following remarkable students.
PhD Students
Nikola Radulov, Robot Learning for Laboratory Environments, from October 2023.
Anna Kisil, Improving Situational Awareness for Safer Robotic Chemists, from October 2023.
Alumni
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 Prof. 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 Prof. Andy Cooper).
David Jorge, Online Inverse Dynamics Learning Using Sparse Gaussian Processes, MInf at the University of Edinburgh, 2020-2022 (Co-advised with Prof. Michael Mistry).
Guangyu Yang, Inverse Dynamics Model Learning Using Neural Networks, MSc at the University of Edinburgh, 2019-2020 (Co-advised with Prof. 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.