publications
2018
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O. Marom, B. Roman. Zero-Shot Transfer with Deictic Object-Oriented Representation in Reinforcement Learning. Neural Information Processing Systems (NIPS), 2018.
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T. Taniguchi, E. Ugur, M. Hoffmann, L. Jamone, T. Nagai, B. Rosman, T. Matsuka, N. Iwahashi, E. Oztop, J. Piater, F. Worgotter. Symbol Emergence in Cognitive Developmental Systems: a Survey. IEEE Transactions on Cognitive and Developmental Systems, 2018. [arXiv link]
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R. Fisher, B. Rosman, V. Ivan. Real-time Motion Planning in Changing Environments Using Topology-based Encoding of Past Knowledge. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018.
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B. van Niekerk, S. James, A. Earle, B. Rosman. Will it Blend? Composing Value Functions in Reinforcement Learning. To appear, Lifelong Learning: A Reinforcement Learning Approach Workshop at FAIM, July 2018.
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S. James, B. Rosman, G. Konidaris. Learning to Plan with Portable Symbols. ICML/IJCAI/AAMAS 2018 Workshop on Planning and Learning, 2018.
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B. van Eden, B. Rosman. Robots for Disaster Management. Women in Science without Borders, 2018.
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A. Earle, A. Saxe, B. Rosman. Hierarchical Subtask Discovery with Non-Negative Matrix Factorization. Proceedings of the Sixth International Conference on Learning Representations, 2018.
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C. Innes, A. Lascarides, S.V. Albrecht, S. Ramamoorthy, B. Rosman. Reasoning about Unforeseen Possibilities During Policy Learning. Technical Report, 2018. [arXiv link]
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N. Makondo, M. Hiratsuka, B. Rosman, and O. Hasegawa. A Non-linear Manifold Alignment Approach to Robot Learning from Demonstrations. Journal of Robotics and Mechatronics, 30(2), 2018.
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N. Makondo, B. Rosman, O. Hasegawa. Accelerating model learning with inter-robot knowledge transfer. IEEE International Conference on Robotics and Automation, 2018.
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O.C. Gorur, B. Rosman, F. Sivrikaya, S. Albayrak. Social Cobots: Anticipatory Decision-Making for Collaborative Robots Incorporating Unexpected Human Behaviors. ACM/IEEE International Conference on Human-Robot Interaction, 2018.
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R. Ajoodha, B. Rosman. Learning the Influence Structure between Partially Observed Stochastic Processes using IoT Sensor Data. SmartIoT: AI Enhanced IoT Data Processing for Intelligent Applications at AAAI-18, 2018.
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O. Marom, B. Rosman. Belief Reward Shaping in Reinforcement Learning. Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018. [supplementary material]
2017
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J. Perlow, B. Rosman, B. Hayes, P. Ranchod. Raw Material Selection for Object Construction. PRASA-RobMech International Conference. PRASA-RobMech International Conference, 2017.
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R. Ajoodha, B. Rosman. Tracking Influence between Naive Bayes Models using Score-Based Structure Learning. PRASA-RobMech International Conference, 2017.
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A. Earle, A. Saxe, B. Rosman. Hierarchical Subtask Discovery With Non-Negative Matrix Factorization. Workshop on Lifelong Learning: A Reinforcement Learning Approach at ICML, 2017.
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L. Darlow, B. Rosman. Fingerprint Minutiae Extraction using Deep Learning. International Joint Conference on Biometrics, 2017.
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B. van Niekerk, A. Damianou, B. Rosman. Online Constrained Model-based Reinforcement Learning. Uncertainty in Artificial Intelligence, 2017.
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A. Saxe, A. Earle, B. Rosman. Hierarchy Through Composition with Multitask LMDPs. International Conference on Machine Learning, 2017. [supplementary material]
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O.C. Gorur, B. Rosman, G. Hoffman, S. Albayrak. Toward Integrating Theory of Mind into Adaptive Decision-Making of Social Robots to Understand Human Intention. Workshop on the Role of Intentions in Human-Robot Interaction at the International Conference on Human-Robot Interaction, 2017.
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S. James, G.D. Konidaris, and B. Rosman. An Analysis of Monte Carlo Tree Search. Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017.
2016
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A. Saxe, A. Earle, B. Rosman. Hierarchy through Composition with Linearly Solvable Markov Decision Processes. Technical report, 2016. [arXiv link]
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M. Hiratsuka, N. Makondo, B. Rosman, O. Hasegawa. Trajectory Learning from Human Demonstrations via Manifold Mapping. IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016.
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R. Berman, R. Benade, B. Rosman, P. Nordengen. Hyperformance: Predicting High-speed Performance of a B-Double. Fourteenth International Symposium on Heavy Vehicle Transport Technology, 2016.
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S. James, B. Rosman and G. Konidaris. An Investigation into the Effectiveness of Heavy Rollouts in UCT. General Intelligence in Game-Playing Agents (GIGA'16) Workshop at IJCAI, 2016.
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P. Hernandez-Leal, M. Taylor, B. Rosman, E. L. Sucar, E. Munoz de Cote. A Bayesian approach for Learning and Tracking Switching, Non-stationary Opponents. Autonomous Agents and Multiagent Systems, 2016.
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B. Rosman, M. Hawasly, S. Ramamoorthy. Bayesian Policy Reuse. Machine Learning Journal, 104(1), pp. 99-127, 2016. [arXiv link].
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P. Hernandez-Leal, M. Taylor, B. Rosman, E. L. Sucar, E. Munoz de Cote. Identifying and Tracking Switching, Non-stationary Opponents: a Bayesian Approach. Workshop on Multiagent Interaction without Prior Coordination (MIPC), at AAAI, 2016.
2015
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R. Berman, R. Benade, B. Rosman. Autonomous Prediction of Performance-based Standards for Heavy Vehicles. PRASA-RobMech International Conference, 2015.
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R. Ajoodha, R. Klein, B. Rosman. Single-labelled Music Genre Classification Using Content-Based Features. PRASA-RobMech International Conference, 2015.
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N. Makondo, B. Rosman, O. Hasegawa. Knowledge Transfer for Learning Robot Models via Local Procrustes Analysis. IEEE-RAS International Conference on Humanoid Robots, 2015.
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P. Ranchod, B. Rosman, G. Konidaris. Nonparametric Bayesian Reward Segmentation for Skill Discovery Using Inverse Reinforcement Learning. IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015.
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B. Rosman, B. Hayes, B. Scassellati. Enhancing Agent Safety through Autonomous Environment Adaptation. Proceedings of the 5th joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. Providence, Rhode Island, USA, August 13-16, 2015.
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A. Kleinhans, B. Rosman, M. Michalik, B. Tripp, R. Detry. G3DB: A Database of Successful and Failed Grasps with RGB-D Images, Point Clouds, Mesh Models and Gripper Parameters (extended abstract). Workshop on Robotic Hands, Grasping, and Manipulation, at the IEEE International Conference on Robotics and Automation, 2015.
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B. Rosman, S. Ramamoorthy. Action Priors for Learning Domain Invariances. IEEE Transactions on Autonomous Mental Development, 2015.
2014
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B. van Eden, B. Rosman, D. Withey, T. Ratshidaho, M. Keaikitse, D. Masha, A. Kleinhans, A. Shaik. CHAMP: a Bespoke Integrated System for Mobile Manipulation. RobMech/PRASA/AfLaT, 2014.
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B. Rosman. Context-based Online Policy Instantiation for Multiple Tasks and Changing Environments. RobMech/PRASA/AfLaT, 2014.
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B. Rosman. Behavioural Domain Knowledge Transfer for Autonomous Agents. AAAI Fall Symposium on Knowledge, Skill, and Behavior Transfer in Autonomous Robots, 2014.
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B. Rosman. Feature Selection for Domain Knowledge Representation through Multitask Learning. IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob), 2014.
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A. Kleinhans, R. Detry, S. Thill, B. Rosman, B. Tripp. Modelling primate control of grasping for robotics applications. Second Workshop on Affordances: Visual Perception of Affordances and Functional Visual Primitives for Scene Analysis (in conjunction with ECCV), 2014.
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B. Rosman. Learning Domain Abstractions for Long Lived Robots. PhD Thesis. The University of Edinburgh. 2014.
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M.M.H. Mahmud, B. Rosman, S. Ramamoorthy, P. Kohli. Adapting interaction environments to diverse users through online action set selection. In Proc. AAAI Workshop on Machine Learning for Interactive Systems (AAAI-MLIS), 2014.
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B. Rosman, S. Ramamoorthy. Giving Advice to Agents with Hidden Goals. In Proc. International Conference on Robotics and Automation (ICRA), 2014.
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B. Rosman, S. Ramamoorthy, M.M.H. Mahmud, P. Kohli. On user behaviour adaptation under interface change. In Proc. International Conference on Intelligent User Interfaces (IUI), 2014.
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M.M.H. Mahmud, M. Hawasly, B. Rosman, S. Ramamoorthy. Clustering Markov Decision Processes for Continual Transfer. Submitted to the Journal of Machine Learning Research, 2014. [arXiv link]
2013 and earlier
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S. Ramamoorthy, M.M.H. Mahmud, B. Rosman, P. Kohli. Latent-variable MDP models for adapting the interaction environment of diverse users. Technical Report, University of Edinburgh, 2013.
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B. Rosman, S. Ramamoorthy. What Good are Actions? Accelerating Learning using Learned Action Priors. In Proc. 2012 IEEE International Conference on Development and Learning (ICDL-EpiRob). [Paper of Excellence Award]
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B. Rosman, S. Ramamoorthy. A Multitask Representation using Reusable Local Policy Templates. In Proc. AAAI 2012 Spring Symposium Series on Designing Intelligent Robots: Reintegrating AI.
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B. Rosman, S. Ramamoorthy. Learning Spatial Relationships between Objects. International Journal of Robotics Research, Special Issue on Semantic Perception for Robots in Indoor Environments. September 2011; vol. 30, 11: pp. 1328-1342.
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B. Rosman, S. Ramamoorthy. A Game Theoretic Procedure for Learning Hierarchically Structured Strategies. In Proceedings of 2010 IEEE International Conference on Robotics and Automation, May 3-8, 2010, Anchorage, Alaska, USA.
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B. Rosman. Game-Theoretic Procedures for Learning Structured Strategies from Demonstration. MSc Dissertation. The University of Edinburgh. 2009.
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B. Rosman. Calculation of Molecular Vibrational Normal Modes. Computational and Applied Mathematics Honours Dissertation. The University of the Witwatersrand. 2008.
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B. Rosman. Similarity of Abstract Images. Computer Science Honours Dissertation. The University of the Witwatersrand. 2007.
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S. Rauchas, B. Rosman, G.D. Konidaris and I.D. Sanders. Language Performance at High School and Success in First Year Computer Science. In Proceedings of the 37th SIGCSE Technical Symposium on Computer Science Education, pages 398-402, March 2006.