Amanda Prorok is an Assistant Professor (University Lecturer) in the Department of Computer Science and Technology, at Cambridge University, and a Fellow of Pembroke College. Her research focuses on multi-agent and multi-robot systems. The lab's mission is to find new ways of coordinating artificially intelligent agents (e.g., robots, vehicles, machines) to achieve common goals in shared physical and virtual spaces. This research brings in methods from planning, control, estimation, and learning, and has numerous applications, including automated transport and logistics, environmental monitoring, surveillance, and search.
Amanda Prorok has been honored by the EPSRC New Investigator Award, the Isaac Newton Trust Early Career Award, and the Asea Brown Boveri (ABB) Award for the best thesis at EPFL in Computer Science. Further awards include Best Paper at DARS 2018, Finalist for Best Multi-Robot Systems Paper at ICRA 2017, Best Paper at BICT 2015, and MIT Rising Stars 2015. She serves as Associate Editor for IEEE Robotics and Automation Letters (R-AL), and Associate Editor for Autonomous Robots (AURO). Prior to joining Cambridge, Amanda Prorok was a postdoctoral researcher at the General Robotics, Automation, Sensing and Perception (GRASP) Laboratory at the University of Pennsylvania, USA, where she worked with Prof. Vijay Kumar. She completed her PhD at EPFL, Switzerland, with Prof. Alcherio Martinoli.
University of Cambridge
William Gates Building
15 JJ Thomson Avenue
Cambridge CB3 0FD, UK
asp45 at cam.ac.uk
Guest Editor for an IEEE T-RO Special Issue on Resilience in Networked Robotic Systems. (Published on 12/2019)
Nominated as one of the 30 women in robotics you need to know about. (Published on 10/2019)
I have been elected General Chair for the 3rd IEEE International Symposium on Multi-Robot and Multi-Agent Systems, 2021, which will be held in Cambridge, UK. (Published on 08/2019)
Our work on cooperative driving is covered by BBC. (Published on 05/2019)
Our workshop on 'Resilient Robot Teams: Composing, Acting, and Learning' at ICRA 2019 is accepted. (Published on 12/2018)
PhD applicants who wish to work in my lab are encouraged to apply here.
Q. Li, F. Gama, A. Ribeiro, A. Prorok, Graph Neural Networks for Decentralized Multi-Robot Path Planning. PDF.
A. Raymond, H. Gunes, A. Prorok, Culture-Based Explainable Human-Agent Deconfliction. PDF.
R. Mitchell, J. Fletcher, J. Panerati, A. Prorok, Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving PDF.
H. Zheng, J. Panerati, G. Beltrame, A. Prorok, An Adversarial Approach to Private Flocking in Mobile Robot Teams. PDF.
N. Hyldmar, Y. He, A. Prorok, A Fleet of Miniature Cars for Experiments in Cooperative Driving, IEEE International Conference on Robotics and Automation (ICRA), 2019. PDF
A. Prorok; Redundant Robot Assignment on Graphs with Uncertain Edge Costs, International Symposium on Distributed Autonomous Robotic Systems (DARS), 2018. PDF (Best Paper Award)