Sean R. Anderson
Orcid: 0000000274525681
According to our database^{1},
Sean R. Anderson
authored at least 59 papers
between 2005 and 2024.
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Bibliography
2024
Interpretable Deep Learning for Nonlinear System Identification Using Frequency Response Functions With Ensemble Uncertainty Quantification.
IEEE Access, 2024
2023
Plant leaf deep semantic segmentation and a novel benchmark dataset for morning glory plant harvesting.
Neurocomputing, October, 2023
A robust method for approximate visual robot localization in featuresparse sewer pipes.
Frontiers Robotics AI, September, 2023
Visual Simultaneous Localization and Mapping for Sewer Pipe Networks Leveraging Cylindrical Regularity.
IEEE Robotics Autom. Lett., June, 2023
Fast Tube Model Predictive Control for Driverless Cars Using Linear DataDriven Models.
IEEE Trans. Control. Syst. Technol., May, 2023
Dataset, April, 2023
Dataset, April, 2023
Holistic SelfDistillation with the Squeeze and Excitation Network for Finegrained Plant Pathology Classification.
Proceedings of the 26th International Conference on Information Fusion, 2023
2022
Interpretable Deep Learning for System Identification Using Nonlinear Output Frequency Response Functions.
Proceedings of the Advances in Computational Intelligence Systems, 2022
A Deep Learning Method with Cross Dropout Focal Loss Function for Imbalanced Semantic Segmentation.
Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2022
2021
Linear System Identification Versus Physical Modeling of LateralLongitudinal Vehicle Dynamics.
IEEE Trans. Control. Syst. Technol., 2021
Simultaneous Localization and Mapping for Inspection Robots in Water and Sewer Pipe Networks: A Review.
IEEE Access, 2021
Proceedings of the Towards Autonomous Robotic Systems  22nd Annual Conference, 2021
Toward Robust Visual Odometry Using Prior 2D Map Information and Multiple Hypothesis Particle Filtering.
Proceedings of the Towards Autonomous Robotic Systems  22nd Annual Conference, 2021
Robot Localization in a Pipe Network using a Particle Filter with Error Detection and Recovery in a Hybrid MetricTopological Space.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2021
Robust topdown and bottomup visual saliency for mobile robots using bioinspired design principles.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Assessing the feasibility of monocular visual simultaneous localization and mapping for live sewer pipes: a field robotics study.
Proceedings of the 20th International Conference on Advanced Robotics, 2021
Robust Efficient Localization of Robots in Pipe Networks using a Particle Filter for Hybrid MetricTopological Space.
Proceedings of the 10th European Conference on Mobile Robots, 2021
2020
Robot Localization in Water Pipes Using Acoustic Signals and Pose Graph Optimization.
Sensors, 2020
A TemporaltoSpatial Neural Network for Classification of Hand Movements from Electromyography Data.
CoRR, 2020
Longitudinal Vehicle Dynamics: A Comparison of Physical and DataDriven Models Under LargeScale RealWorld Driving Conditions.
IEEE Access, 2020
Proceedings of the Towards Autonomous Robotic Systems  21st Annual Conference, 2020
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2020
2019
FrequencyDomain Analysis for Nonlinear Systems With TimeDomain Model Parameter Uncertainty.
IEEE Trans. Autom. Control., 2019
Sensorimotor maps can be dynamically calibrated using an adaptivefilter model of the cerebellum.
PLoS Comput. Biol., 2019
Foveated Image Processing for Faster Object Detection and Recognition in Embedded Systems Using Deep Convolutional Neural Networks.
Proceedings of the Biomimetic and Biohybrid Systems  8th International Conference, 2019
Visual saliency with foveated images for fast object detection and recognition in mobile robots using lowpower embedded GPUs.
Proceedings of the 19th International Conference on Advanced Robotics, 2019
2018
IEEE Trans. Autom. Control., 2018
Compact Deep Neural Networks for Computationally Efficient Gesture Classification From Electromyography Signals.
Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018
2017
Constructing informative Bayesian map priors: A multiobjective optimisation approach applied to indoor occupancy grid mapping.
Int. J. Robotics Res., 2017
FeatherInspired Sensor for Stabilizing Unmanned Aerial Vehicles in Turbulent Conditions.
Proceedings of the Biomimetic and Biohybrid Systems  6th International Conference, 2017
Exploiting dreamlike simulation mechanisms to develop safer agents for automated driving: The "Dreams4Cars" EU research and innovation action.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017
Robot mapping and localisation in metal water pipes using hydrophone induced vibration and map alignment by dynamic time warping.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
PipeSLAM: Simultaneous localisation and mapping in feature sparse water pipes using the RaoBlackwellised particle filter.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2017
2016
Computational system identification of continuoustime nonlinear systems using approximate Bayesian computation.
Int. J. Syst. Sci., 2016
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016
Personspecific gesture set selection for optimised movement classification from EMG signals.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Spatiotemporal System Identification With Continuous Spatial Maps and Sparse Estimation.
IEEE Trans. Neural Networks Learn. Syst., 2015
Biohybrid Control of General Linear Systems Using the Adaptive Filter Model of Cerebellum.
Frontiers Neurorobotics, 2015
Robot Mapping and Localisation for Feature Sparse Water Pipes Using Voids as Landmarks.
Proceedings of the Towards Autonomous Robotic Systems  16th Annual Conference, 2015
Proceedings of the 6th International Conference on Automation, Robotics and Applications, 2015
Estimation of Fingertip Force from Surface EMG  A Multivariate Bayesian Mixture of Experts Approach.
Proceedings of the BIOSIGNALS 2015, 2015
2013
Adaptive filters and internal models: Multilevel description of cerebellar function.
Neural Networks, 2013
Autom., 2013
Developing the Cerebellar Chip as a General Control Module for Autonomous Systems.
Proceedings of the Towards Autonomous Robotic Systems  14th Annual Conference, 2013
ControlOriented Nonlinear Dynamic Modelling of Dielectric ElectroActive Polymers.
Proceedings of the Towards Autonomous Robotic Systems  14th Annual Conference, 2013
Proceedings of the Biomimetic and Biohybrid Systems, 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Structure detection and parameter estimation for NARX models in a unified EM framework.
Autom., 2012
Proceedings of the Advances in Autonomous Robotics, 2012
2010
IEEE Trans. Robotics, 2010
IEEE Trans. Biomed. Eng., 2010
An iterative Kalman smoother/leastsquares algorithm for the identification of deltaARX models.
Int. J. Syst. Sci., 2010
2009
CerebellarInspired Adaptive Control of a Robot Eye Actuated by Pneumatic Artificial Muscles.
IEEE Trans. Syst. Man Cybern. Part B, 2009
Int. J. Syst. Sci., 2009
2008
MaximumLikelihood Estimation of DeltaDomain Model Parameters From Noisy Output Signals.
IEEE Trans. Signal Process., 2008
2007
IEEE Trans. Biomed. Eng., 2007
Modelling and identification of nonlinear deterministic systems in the deltadomain.
Autom., 2007
2005
Multiobjective optimization of operational variables in a waste incineration plant.
Comput. Chem. Eng., 2005