Projects per year
Personal profile
Biography
Michael Burke is a lecturer specialising in robot learning and control at Monash University, Australia. Prior to this, he was a research associate working on robot learning at the University of Edinburgh, from 2018-2020. Before this, Michael led the Mobile Intelligent Autonomous Systems group at the Council for Scientific and Industrial Research (CSIR), South Africa, where he was responsible for a team of 20 staff and students working in computer vision, machine learning and field robotics and had worked since 2009. He has a PhD in statistical signal processing from the University of Cambridge (2012-2016), a Masters of Science in electronic engineering from Stellenbosch University (2009-2011) and a Bachelors in electronic engineering from the University of Pretoria (2005-2008).
His research interests are in the development of probabilistic machine learning and computer vision tools for robotics applications. Specifically he is interested in bridging robot perception and control, by making use of probabilistic programming and leveraging advances in representation learning. Michael has a broad background in robotics, data science and computer vision research and development in support of industry and government, in applications ranging from agriculture to mining.
External positions
Honorary Fellow, University of Edinburgh
Research area keywords
- Robotics
- Computer Vision
- Machine Learning
- Robot Learning
- Control systems
Collaborations and top research areas from the last five years
Projects
- 2 Active
-
Intelligent Robotics for Pharmaceutical Formulation Development
Kulic, D. (Primary Chief Investigator (PCI)), Burke, M. (Chief Investigator (CI)), Pham, H. (Partner Investigator (PI)), Vong, C. (Associate Investigator (AI)), Aleti, A. (Chief Investigator (CI)) & Say, B. (Chief Investigator (CI))
15/09/24 → 14/09/27
Project: Research
-
Human models for accelerated robot learning and human-robot interaction
Kulic, D. (Primary Chief Investigator (PCI)), Carreno-Medrano, P. (Chief Investigator (CI)) & Burke, M. (Chief Investigator (CI))
Australian Research Council (ARC)
27/06/24 → 26/06/27
Project: Research
-
A new framework to predict and visualize technology acceptance: A case study of shared autonomous vehicles
Guo, L., Burke, M. G. & Griggs, W. M., Mar 2025, In: Technological Forecasting and Social Change. 212, 32 p., 123960.Research output: Contribution to journal › Article › Research › peer-review
Open Access1 Citation (Scopus) -
Generating robotic elliptical excisions with human-like tool-tissue interactions
Straižys, A., Burke, M. & Ramamoorthy, S., 2024, 2024 IEEE International Conference on Robotics and Automation, ICRA 2024. Hasegawa, Y. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 15017-15023 7 p. (Proceedings - IEEE International Conference on Robotics and Automation).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
-
Intelligent robotic sonographer: Mutual information-based disentangled reward learning from few demonstrations
Jiang, Z., Bi, Y., Zhou, M., Hu, Y., Burke, M. & Navab, N., Jun 2024, In: International Journal of Robotics Research. 43, 7, p. 981-1002 22 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access13 Citations (Scopus) -
MotionPerceiver: Real-time occupancy forecasting for embedded systems
Ferenczi, B., Burke, M. & Drummond, T., Mar 2024, In: IEEE Robotics and Automation Letters. 9, 3, p. 2822-2829 8 p.Research output: Contribution to journal › Article › Research › peer-review
2 Citations (Scopus) -
Social cue detection and analysis using transfer entropy
Jiang, H., Croft, E. A. & Burke, M. G., 2024, Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction. Ju, W., Soh, H. & Williams, T. (eds.). New York NY USA: IEEE, Institute of Electrical and Electronics Engineers, p. 323-332 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open Access4 Citations (Scopus)
Prizes
-
Best Paper Award AMDO 2014
Burke, Michael (Recipient), 2014
Prize: Prize (including medals and awards)
-
Runner Up: Best Paper CoRL 2019
Burke, M. (Recipient), 2019
Prize: Prize (including medals and awards)
Activities
- 1 Editorial responsibility
-
IEEE Robotics and Automation Letters (Journal)
Michael Burke (Associate editor)
2020 → …Activity: Publication peer-review and editorial work types › Editorial responsibility