Han, Y., Tse, R., Campbell, M., “Pedestrian motion model using non-parametric trajectory clustering and discrete transition points,” IEEE Robotics and Automation Letters 4 (3), 2614-2621, 2019.
Tse, R., Campbell, M., “Human–Robot Communications of Probabilistic Beliefs via a Dirichlet Process Mixture of Statements,” IEEE Transactions on Robotics 34 (5), 1280-1298, 2018.
Tse, R., Ahmed, N., Campbell, M., “Unified terrain mapping model with Markov random fields,” IEEE Transactions on Robotics 31 (2), 290-306, 2015.
Tse, R., Campbell, M., “Human-robot information sharing with structured language generation from probabilistic beliefs,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015.
Ahmed, N., Tse, R., Campbell, M., “Enabling robust human-robot cooperation through flexible fully Bayesian shared sensing,” AAAI Spring Symposium Series, 2014.
Ahmed, N., … , Tse, R., Campbell, M., “Towards cooperative Bayesian human-robot perception: Theory, experiments, opportunities,” Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013.
Tse, R., Ahmed, N., Campbell, M., “Unified mixture-model based terrain estimation with Markov Random Fields,” IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2012.
Tse, R., Tay, A., “Towards a Fully-Autonomous Cognitive Robot Navigation,” International Conference on Cognitive and Neural Systems, 2009.
Tse, R., Tay, A., Hutama, W., “Robot navigation using KFLANN place field,” IEEE International Conference on Systems, Man and Cybernetics (SMC), 2008.
Tse, R., Seet, G., Sim, S., “Recognition of human intentions using Bayesian artificial intelligence,” ASME International Mechanical Engineering Congress and Exposition (IMECE), 2007.
Bayesian machine learning, nonparametric models, clustering, semi-supervised learning, information fusion, robotics, human-robot interaction, mapping, autonomous systems