Publications

2025

Guo, L.; Burke, M.; Griggs, W.; (2025). Sentiment Matters: An Analysis of 200 Human-SAV Interactions. IEEE International Conference on Intelligent Transportation Systems

Zhang, J.; Newbury, R.; Zhang, X.; Tran, T.; Kulic, D.; Burke, M.; (2025). Why Heuristic Weighting Works: A Theoretical Analysis of Denoising Score Matching. arXiv preprint arXiv:2508.01597

Zhang, C.; Liu, Y.; Kulic, D.; Carreno-Medrano, P.; Burke, M.; (2025). Modeling Human Sequential Decision-Making in the Tower of London: Incorporating Individual Differences and Timing-Based Replanning Inference. Proceedings of the Annual Meeting of the Cognitive Science Society

Yang, X.; Leitner, J.; Burke, M.; (2025). Feedback-Induced Performance Decline in LLM-Based Decision-Making. arXiv preprint arXiv:2507.14906

Zuffer, A.; Burke, M.; Harandi, M.; (2025). Advancements and Challenges in Continual Reinforcement Learning: A Comprehensive Review. arXiv preprint arXiv:2506.21899

Jiang, H.; Croft, E.; Burke, M.; (2025). Enhancing Human-Robot Interaction by Detecting and Modulating Information Flows. 2025 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

Guo, L.; Burke, M.; Griggs, W.; (2025). Exploring human-SAV interaction using large language models: The impact of psychological ownership and anthropomorphism on user experience. arXiv preprint arXiv:2504.16548

Nigam, U.; Srivastava, R.; Burke, M.; Marzbanrad, F.; (2025). A Dynamical Equation Approach For Quasi-Periodic Gaussian Processes. ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Guo, L.; Burke, M.; Griggs, W.; (2025). A new framework to predict and visualize technology acceptance: A case study of shared autonomous vehicles. Technological Forecasting and Social Change

2024

Meng, L.; Burke, M.; Gorbet, R.; (2024). Experimental Study on the Effect of Multi-Step Deep Reinforcement Learning in Pomdps. Available at SSRN 5387658

Jiang, H.; Croft, E.; Burke, M.; (2024). Influence-Based Reward Modulation for Implicit Communication in Human-Robot Interaction. arXiv preprint arXiv:2406.12253

Li, S.; Burke, M.; Ramamoorthy, S.; Gall, J.; (2024). Learning a Neural Association Network for Self-supervised Multi-Object Tracking. arXiv preprint arXiv:2411.11514

Zhang, J.; Kulic, D.; Burke, M.; (2024). A Probabilistic Model for Skill Acquisition with Switching Latent Feedback Controllers. arXiv preprint arXiv:2410.14191

Ferenczi, B.; Burke, M.; Drummond, T.; (2024). Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular Observations. arXiv preprint arXiv:2410.08681

Ferenczi, B.; Newbury, R.; Burke, M.; Drummond, T.; (2024). Carefully Structured Compression: Efficiently Managing StarCraft II Data. arXiv preprint arXiv:2410.08659

Zhang, B.; Kleeman, L.; Burke, M.; (2024). Rendering stable features improves sampling-based localisation with Neural radiance fields. 2024 Australasian Conference on Robotics and Automation

Straizys, A.; Burke, M.; Ramamoorthy, S.; (2024). Generating robotic elliptical excisions with human-like tool-tissue interactions. IEEE International Conference on Robotics and Automation

Jiang, Z.; Bi, Y.; Zhou, M.; Hu, Y.; Burke, M.; Navab, N.; (2024). Intelligent robotic sonographer: Mutual information-based disentangled reward learning from few demonstrations. The International Journal of Robotics Research

2023

Perkins, E.; Sitaula, C.; Burke, M.; Manousakis, J.; Anderson, C.; Marzbanrad, F.; (2023). Investigating physiological and behavioral sensing modalities toward drowsiness detection. IEEE Sensors Journal

Burke, M.; Lu, K.; Angelov, D.; Straižys, A.; Innes, C.; Subr, K.; Ramamoorthy, S.; (2023). Learning rewards from exploratory demonstrations using probabilistic temporal ranking. Autonomous Robots

Ferenczi, B.; Burke, M.; Drummond, T.; (2023). Motion Perceiver: Real-Time Occupancy Forecasting for Embedded Systems. IEEE Robotics and Automation Letters, 2024

Straižys, A.; Burke, M.; Brennan, P.; Ramamoorthy, S.; (2023). A generative force model for surgical skill quantification using sensorised instruments. Communications Engineering

Jiang, H.; Croft, E.; Burke, M.; (2023). Social Cue Analysis using Transfer Entropy. 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI 2024)

2022

Straižys, A.; Burke, M.; Ramamoorthy, S.; (2022). Learning robotic cutting from demonstration: Non-holonomic DMPs using the Udwadia-Kalaba method. arXiv preprint arXiv:2209.12039

Carreno, P.; Kulic, D.; Burke, M.; (2022). Adapting Neural Models with Sequential Monte Carlo Dropout. 6th Annual Conference on Robot Learning

Perkins, E.; Sitaula, C.; Burke, M.; Marzbanrad, F.; (2022). Challenges of driver drowsiness prediction: The remaining steps to implementation. IEEE Transactions on Intelligent Vehicles

Jaques, M.; Asenov, M.; Burke, M.; Hospedales, T.; (2022). Vision-based System Identification and 3D Keypoint Discovery using Dynamics Constraints. Proceedings of The 4th Annual Learning for Dynamics and Control Conference

Davchev, T.; Luck, K.; Burke, M.; Meier, F.; Schaal, S.; Ramamoorthy, S.; (2022). Residual learning from demonstration. IEEE Robotics and Automation Letters, 2022

2021

Tsai, Y.; Mello, R.; Falcão, T.; Burke, M.; Gašević, D.; (2021). Dichotomous views of automation in feedback practice. International Learning Analytics & Knowledge Conference 2021

Burke, M.; Ramamoorthy, S.; (2021). Learning data association without data association: An em approach to neural assignment prediction. arXiv preprint arXiv:2105.00369

Burke, M.; Subr, K.; Ramamoorthy, S.; (2021). Action sequencing using visual permutations. IEEE Robotics and Automation Letters

Jaques, M.; Burke, M.; Hospedales, T.; (2021). Newtonianvae: Proportional control and goal identification from pixels via physical latent spaces. Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

2020

Mashal, D.; Burke, M.; (2020). Importance Sampling Forests for Location Invariant Proprioceptive Terrain. Artificial Intelligence Research: First Southern African Conference for AI Research, SACAIR 2020, Muldersdrift, South Africa, February 22-26, 2021, Proceedings

Davchev, T.; Burke, M.; Ramamoorthy, S.; (2020). Learning structured representations of spatial and interactive dynamics for trajectory prediction in crowded scenes. IEEE Robotics and Automation Letters

Masha, D.; Burke, M.; (2020). Importance Sampling Forests for Location Invariant Proprioceptive Terrain Classification. Southern African Conference for Artificial Intelligence Research

Lopez-Guevara, T.; Burke, M.; Taylor, N.; Subr, K.; (2020). IV-Posterior: Inverse Value Estimation for Interpretable Policy Certificates. arXiv preprint arXiv:2012.01925

Asenov, M.; Burke, M.; Angelov, D.; Davchev, T.; Subr, K.; Ramamoorthy, S.; (2020). Vid2Param: Modelling of Dynamics Parameters From Video. IEEE ROBOTICS AND AUTOMATION LETTERS

Mokuwe, M.; Burke, M.; Bosman, A.; (2020). Black-Box Saliency Map Generation Using Bayesian Optimisation. International Joint Conference on Neural Networks (IJCNN)

Ngxande, M.; Tapamo, J.; Burke, M.; (2020). Bias remediation in driver drowsiness detection systems using generative adversarial networks. IEEE Access

Straižys, A.; Burke, M.; Ramamoorthy, S.; (2020). Surfing on an uncertain edge: Precision cutting of soft tissue using torque-based medium classification. 2020 IEEE International Conference on Robotics and Automation (ICRA)

Angelov, D.; Hristov, Y.; Burke, M.; Ramamoorthy, S.; (2020). Composing Diverse Policies for Temporally Extended Tasks. Robotics and Automation Letters (RA-L)

Ngxande, M.; Tapamo, J.; Burke, M.; (2020). Detecting inter-sectional accuracy differences in driver drowsiness detection algorithms. 2020 International SAUPEC/RobMech/PRASA Conference

2019

Jaques, M.; Burke, M.; Hospedales, T.; (2019). Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video. ICLR 2019

Hristov, Y.; Angelov, D.; Burke, M.; Lascarides, A.; Ramamoorthy, S.; (2019). Disentangled Relational Representations for Explaining and Learning from Demonstration. Conference on Robot Learning (CoRL)

Burke, M.; Hristov, Y.; Ramamoorthy, S.; (2019). Hybrid system identification using switching density networks. Conference on Robot Learning (CoRL)

Ngxande, M.; Tapamo, J.; Burke, M.; (2019). DepthwiseGANs: Fast training generative adversarial networks for realistic image synthesis. 2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA)

Burke, M.; Penkov, S.; Ramamoorthy, S.; (2019). From explanation to synthesis: Compositional program induction for learning from demonstration. Robotics: Science and Systems

2018

Proceedings, I.; Burke, M.; Maphanga, R.; van Rensburg, J.; (2018). Women in Science Without Borders 2018, Resilience in Diversity: School of Tourism and Hospitality, University of Johannesburg, South Africa, 21-23 March 2018: Proceedings.

Kanda, P.; Burke, M.; Gupta, R.; (2018). Time-varying causality between equity and currency returns in the United Kingdom: Evidence from over two centuries of data. Physica A: Statistical Mechanics and its Applications

2017

Ngxande, M.; Tapamo, J.; Burke, M.; (2017). Driver drowsiness detection using behavioral measures and machine learning techniques: A review of state-of-art techniques. 2017 pattern recognition Association of South Africa and Robotics and mechatronics (PRASA-RobMech)

Masha, D.; Burke, M.; Twala, B.; (2017). Slip estimation methods for proprioceptive terrain classification using tracked mobile robots. 2017 Pattern Recognition Association of South Africa and Robotics and Mechatronics (PRASA-RobMech)

Burke, M.; (2017). Leveraging Gaussian process approximations for rapid image overlay production. SAWACMMM ‘17 Proceedings of the ACM Multimedia 2017 Workshop on South African Academic Participation

Burke, M.; (2017). A generative Bézier curve model for surf-zone tracking in coastal image sequences. IEEE Africon 2017, Cape Town, 18-20 September 2017

Burke, M.; Mbonambi, S.; Molala, P.; Sefala, R.; (2017). Rapid Probabilistic Interest Learning from Domain-Specific Pairwise Image Comparisons. arXiv preprint arXiv:1706.05850

2016

Burke, M.; (2016). Image ranking in video sequences using pairwise image comparisons and temporal smoothing. 2016 PRASA-RobMech International Conference

Burke, M.; Lasenby, J.; (2016). Estimating missing marker positions using low dimensional Kalman smoothing. Journal of biomechanics

2015

Burke, M.; (2015). Fast upper body pose estimation for human-robot interaction.

Burke, M.; Sabatta, D.; (2015). Topic models for conference session assignment: Organising PRASA 2014(5). 2015 Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference (PRASA-RobMech)

Burke, M.; Lasenby, J.; (2015). Pantomimic gestures for human–robot interaction. IEEE Transactions on Robotics

2014

Burke, M.; Sabatta, D.; (2014). Proceedings of the 2014 International Conference (PRASA-RobMech). International Conference (PRASA-RobMech)

Burke, M.; Lasenby, J.; (2014). Fast upper body joint tracking using kinect pose priors. International Conference on Articulated Motion and Deformable Objects

Burke, M.; Lasenby, J.; (2014). Single camera pose estimation using Bayesian filtering and Kinect motion priors. arXiv preprint arXiv:1405.5047

2013

Burke, M.; Lasenby, J.; (2013). Multilinear function factorisation for time series feature extraction. 2013 18th International Conference on Digital Signal Processing (DSP)

2012

Tack, S.; Burke, M.; Sinha, S.; (2012). Local exploration strategies for a mobile robot in a highly dynamic environment. 5th Robotics and Mechatronics Conference of South Africa (ROBOMECH)

Burke, M.; (2012). Path-following control of a velocity constrained tracked vehicle incorporating adaptive slip estimation. 2012 IEEE International Conference on Robotics and Automation

2011

Burke, M.; Bos, N.; (2011). Optimal placement of range-only beacons for mobile robot localisation. 4th Robotics and Mechatronics Conference of South Africa (ROBMECH)

Burke, M.; Brink, W.; (2011). Gain-scheduling control of a monocular vision-based human-following robot. 18th World Congress of the International Federation of Automatic Control

Burke, M.; (2011). Visual servo control for a human-following robot.

2010

Burke, M.; (2010). Laser-based target tracking using principal component descriptors. 21st Annual Symposium of the Pattern Recognition Association of South Africa.

Burke, M.; Brink, W.; (2010). Estimating Target Orientation with a Single Camera for Use in a Human-Following Robot. 21st Annual Symposium of the Pattern Recognition Association of South Africa

2009

Burke, M.; (2009). Feature tracking for visual servo based range regulation on a mobile robot.

Burke, M.; Sabatta, D.; (2009). Position fusion for an outdoor mobile robot. 3rd Robotics and Mechatronics Symposium (ROBMECH)