Robotics in Computer Science
The Robotics in Computer Science theme encompasses both fundamental and applied research across several key areas.
Overview
Our primary research focuses on robot learning, data-driven modelling and control, and human-robot interaction/collaboration.
We are dedicated to advancing these fields through both theoretical and practical approaches.
Our applied research spans various domains, including agriculture, medicine, remote handling, underwater search and monitoring, and nuclear decommissioning.
By addressing real-world challenges, we aim to make significant contributions to society, the economy, and the environment. Our goal is to drive innovation in robotics that has a tangible and positive impact.
Meet the team
Dr Amir Esfahani
Associate Professor in Robotics
Dr Sotiris Moschoyiannis
Reader in Complex Systems
Dr Alireza Tamaddoni Nezhad
Reader (Associate Professor) in Machine Learning and Computational Intelligence
Dr Frank Guerin
Senior Lecturer
Publications
- S. Parsa, B. Debnath, A. Khan, and A. Ghalamzan. Modular autonomous strawberry picking robotic system. Journal of Field Robotics, 2023. http://doi.org/10.1002/rob.22229
- R. Rahal, A. Ghalamzan, F. Abi-Farraj, C. Pacchierotti and P. Robuffo Giordano, Haptic-guided grasping to minimise torque effort during robotic telemanipulation. Autonomous Robots, 47(4), pp.405-423, 2023. http://doi.org/10.1007/s10514-023-10096-7
Funded Projects
- EPSRC, Human-Machine Learning of Ambiguities to Support Safe, Effective, and Legal Decision Making. Leading Scientist: A. Tamaddoni-Nezhad, 2023-2026. https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/X030156/1
- https://hmlr-lab.github.io/epsrc-hmla/
- Cambridge Enterprise: CERES Agritech funded, Robofruit. Leading Scientist: A. Ghalamzan, 2020-2021
- https://robofruits.com/
- Innovate UK, BI-SENSS, Leading Scientist: A. Ghalamzan, 2021-2022
- https://intmanlab.com/projects/bisenss.html