Publications/Pre-prints
2026
Akinade, A.; Granland, K.; Leitner, J.; Burke, M.; (2026).
Beyond Success Rate: Empirical Evidence That Compliance Dominates in Deformable-Object Grasping. Beyond Rigidity - Deformable and Articulated Robotic Object Manipulation …, 2026
Sayour, M.; Carreno-Medrano, P.; Burke, M.; Kulić, D.; (2026).
The Role of Variability in Human Navigational Instructions in Visual Language Robot Navigation. IEEE Robotics and Automation Letters, 2026
Nigam, U.; Srivastava, R.; Marzbanrad, F.; Burke, M.; (2026).
Quasi-Periodic Gaussian Process Predictive Iterative Learning Control. arXiv preprint arXiv:2602.18014, 2026
Fashae, E.; Burke, M.; Tian, L.; Meng, L.; Carreno-Medrano, P.; (2026).
Explaining Why Things Go Where They Go: Interpretable Constructs of Human Organizational Preferences. HRI ‘26: Proceedings of the 21st ACM/IEEE International Conference on Human …, 2026
Jiang, H.; Croft, E.; Burke, M.; (2026).
Influence-Based Reward Modulation for Implicit Communication in Human-Robot Interaction. ACM Transactions on Human-Robot Interaction, 2026
2025
Guo, L.; Griggs, W.; Burke, M.; (2025).
200 Human-SAV Interactions: Dialogues & Surveys.
Meng, L.; Gorbet, R.; Burke, M.; Kulić, D.; (2025).
Multi-step first: A lightweight deep reinforcement learning strategy for robust continuous control with partial observability. Neural networks: the official journal of the International Neural Network …, 2025
Guo, L.; Burke, M.; Griggs, W.; (2025).
Exploring human-SAV interaction using LLMs: The impact of psychological factors on user experience. arXiv preprint arXiv:2504.16548, 2025
Yap, E.; Huynh, V.; Vong, C.; Vogel, P.; Louzado, V.; Barnes, T.; Say, B.; Burke, M.; Kulić, D.; Aleti, A.; (2025).
A Bayesian Optimisation with segmentation approach to optimising liquid handling parameters. Elsevier, 2025
Nigam, U.; Srivastava, R.; Marzbanrad, F.; Burke, M.; (2025).
A structural equation formulation for general quasi-periodic Gaussian processes. arXiv preprint arXiv:2511.01151, 2025
Zhang, J.; Kulic, D.; Burke, M.; (2025).
Skill Acquisition with Switching Latent PI Controllers. IROS 2025 Workshop-LeaPRiDE: Learning, Planning, and Reasoning in Dynamic …, 2025
Guo, L.; Burke, M.; Griggs, W.; (2025).
Sentiment Matters: An Analysis of 200 Human-SAV Interactions. IEEE International Conference on Intelligent Transportation Systems, 2025
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, 2025
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 47, 2025
Yang, X.; Leitner, J.; Burke, M.; (2025).
Feedback-Induced Performance Decline in LLM-Based Decision-Making. arXiv preprint arXiv:2507.14906, 2025
Zuffer, A.; Burke, M.; Harandi, M.; (2025).
Advancements and Challenges in Continual Reinforcement Learning: A Comprehensive Review. arXiv preprint arXiv:2506.21899, 2025
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 …, 2025
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 e-prints, arXiv: 2504.16548, 2025
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 …, 2025
Li, S.; Burke, M.; Ramamoorthy, S.; Gall, J.; (2025).
Learning a Neural Association Network for Self-supervised Multi-Object Tracking. British Machine Vision Conference (BMVC), 2025
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 212, 123960, 2025
2024
Zhang, J.; Kulic, D.; Burke, M.; (2024).
A Probabilistic Model for Skill Acquisition with Switching Latent Feedback Controllers. arXiv preprint arXiv:2410.14191, 2024
Ferenczi, B.; Burke, M.; Drummond, T.; (2024).
Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular Observations. arXiv preprint arXiv:2410.08681, 2024
Ferenczi, B.; Newbury, R.; Burke, M.; Drummond, T.; (2024).
Carefully Structured Compression: Efficiently Managing StarCraft II Data. arXiv preprint arXiv:2410.08659, 2024
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, 2024
Straizys, A.; Burke, M.; Ramamoorthy, S.; (2024).
Generating robotic elliptical excisions with human-like tool-tissue interactions. IEEE International Conference on Robotics and Automation, 2024
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 43 (7), 981-1002, 2024
Jiang, H.; Croft, E.; Burke, M.; (2024).
Social Cue Analysis using Transfer Entropy. 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI 2024), 2024
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 23 (23), 29513-29524, 2023
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 47 (6), 733-751, 2023
Ferenczi, B.; Burke, M.; Drummond, T.; (2023).
Motion Perceiver: Real-Time Occupancy Forecasting for Embedded Systems. IEEE Robotics and Automation Letters, 2024, 2023
Straižys, A.; Burke, M.; Brennan, P.; Ramamoorthy, S.; (2023).
A generative force model for surgical skill quantification using sensorised instruments. Communications Engineering 2 (1), 36, 2023
Straižys, A.; Burke, M.; Ramamoorthy, S.; (2023).
Learning robotic cutting from demonstration: Non-holonomic DMPs using the Udwadia-Kalaba method. IEEE International Conference on Robotics and Automation (ICRA), 2023
2022
Carreno, P.; Kulic, D.; Burke, M.; (2022).
Adapting Neural Models with Sequential Monte Carlo Dropout. 6th Annual Conference on Robot Learning, 2022
Perkins, E.; Sitaula, C.; Burke, M.; Marzbanrad, F.; (2022).
Challenges of driver drowsiness prediction: The remaining steps to implementation. IEEE Transactions on Intelligent Vehicles 8 (2), 1319-1338, 2022
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 …, 2022
Davchev, T.; Luck, K.; Burke, M.; Meier, F.; Schaal, S.; Ramamoorthy, S.; (2022).
Residual learning from demonstration. IEEE Robotics and Automation Letters, 2022, 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, 52-54, 2021
Burke, M.; Ramamoorthy, S.; (2021).
Learning data association without data association: An em approach to neural assignment prediction. arXiv preprint arXiv:2105.00369, 2021
Burke, M.; Subr, K.; Ramamoorthy, S.; (2021).
Action sequencing using visual permutations. IEEE Robotics and Automation Letters 6 (2), 1745-1752, 2021
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 …, 2021
2020
Mashal, D.; Burke, M.; (2020).
Importance Sampling Forests for Location Invariant Proprioceptive Terrain. Artificial Intelligence Research: First Southern African Conference for AI …, 2020
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 6 (2), 707-714, 2020
Masha, D.; Burke, M.; (2020).
Importance Sampling Forests for Location Invariant Proprioceptive Terrain Classification. Southern African Conference for Artificial Intelligence Research, 154-168, 2020
Lopez-Guevara, T.; Burke, M.; Taylor, N.; Subr, K.; (2020).
IV-Posterior: Inverse Value Estimation for Interpretable Policy Certificates. arXiv preprint arXiv:2012.01925, 2020
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 5 (2), 2872-2872, 2020
Mokuwe, M.; Burke, M.; Bosman, A.; (2020).
Black-Box Saliency Map Generation Using Bayesian Optimisation. International Joint Conference on Neural Networks (IJCNN), 2020
Ngxande, M.; Tapamo, J.; Burke, M.; (2020).
Bias remediation in driver drowsiness detection systems using generative adversarial networks. IEEE Access 8, 55592-55601, 2020
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), 2020
Angelov, D.; Hristov, Y.; Burke, M.; Ramamoorthy, S.; (2020).
Composing Diverse Policies for Temporally Extended Tasks. Robotics and Automation Letters (RA-L), 2020
Ngxande, M.; Tapamo, J.; Burke, M.; (2020).
Detecting inter-sectional accuracy differences in driver drowsiness detection algorithms. 2020 International SAUPEC/RobMech/PRASA Conference, 2020
2019
Jaques, M.; Burke, M.; Hospedales, T.; (2019).
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video. ICLR 2019, 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), 2019
Burke, M.; Hristov, Y.; Ramamoorthy, S.; (2019).
Hybrid system identification using switching density networks. Conference on Robot Learning (CoRL), 2019
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 …, 2019
Burke, M.; Penkov, S.; Ramamoorthy, S.; (2019).
From explanation to synthesis: Compositional program induction for learning from demonstration. Robotics: Science and Systems, 2019
2018
Proceedings, I.; Burke, M.; Maphanga, R.; 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. University of Johannesburg, School of Tourism and Hospitality, 2018
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 506, 1060-1080, 2018
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 …, 2017
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 …, 2017
Burke, M.; (2017).
Leveraging Gaussian process approximations for rapid image overlay production. SAWACMMM ‘17 Proceedings of the ACM Multimedia 2017 Workshop on South …, 2017
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, 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, 2017
2016
Burke, M.; (2016).
Image ranking in video sequences using pairwise image comparisons and temporal smoothing. 2016 PRASA-RobMech International Conference, 2016
Burke, M.; Lasenby, J.; (2016).
Estimating missing marker positions using low dimensional Kalman smoothing. Journal of biomechanics 49 (9), 1854-1858, 2016
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 …, 2015
Burke, M.; Lasenby, J.; (2015).
Pantomimic gestures for human–robot interaction. IEEE Transactions on Robotics 31 (5), 1225-1237, 2015
2014
Burke, M.; Sabatta, D.; (2014).
Proceedings of the 2014 International Conference (PRASA-RobMech). International Conference (PRASA-RobMech) 5, 2015, 2014
Burke, M.; Lasenby, J.; (2014).
Fast upper body joint tracking using kinect pose priors. International Conference on Articulated Motion and Deformable Objects, 94-105, 2014
Burke, M.; Lasenby, J.; (2014).
Single camera pose estimation using Bayesian filtering and Kinect motion priors. arXiv preprint arXiv:1405.5047, 2014
2013
Burke, M.; Lasenby, J.; (2013).
Multilinear function factorisation for time series feature extraction. 2013 18th International Conference on Digital Signal Processing (DSP), 1-8, 2013
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), 2012
Burke, M.; (2012).
Path-following control of a velocity constrained tracked vehicle incorporating adaptive slip estimation. 2012 IEEE International Conference on Robotics and Automation, 97-102, 2012
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), 2011
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, 2011
Burke, M.; (2011).
Visual servo control for a human-following robot. Stellenbosch: University of Stellenbosch, 2011
2010
Burke, M.; (2010).
Laser-based target tracking using principal component descriptors. 21st Annual Symposium of the Pattern Recognition Association of South Africa., 2010
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, 2010
2009
Burke, M.; (2009).
Feature tracking for visual servo based range regulation on a mobile robot. PRASA 2009, 2009
Burke, M.; Sabatta, D.; (2009).
Position fusion for an outdoor mobile robot. 3rd Robotics and Mechatronics Symposium (ROBMECH), 2009
Burke, M.; .
On inter-sectional bias and its remediation in data-driven models.