Sean R. Anderson

Orcid: 0000-0002-7452-5681

According to our database1, Sean R. Anderson authored at least 58 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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 feature-sparse 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 Data-Driven Models.
IEEE Trans. Control. Syst. Technol., May, 2023

Video Data for Robot Localisation within Pipe Networks.
Dataset, April, 2023

Video Data for Robot Localisation within Pipe Networks.
Dataset, April, 2023

Holistic Self-Distillation with the Squeeze and Excitation Network for Fine-grained Plant Pathology Classification.
Proceedings of the 26th International Conference on Information Fusion, 2023

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 Lateral-Longitudinal 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

Improving SLAM in Pipe Networks by Leveraging Cylindrical Regularity.
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 Metric-Topological Space.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2021

Robust top-down and bottom-up visual saliency for mobile robots using bio-inspired 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 Metric-Topological 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 Temporal-to-Spatial Neural Network for Classification of Hand Movements from Electromyography Data.
CoRR, 2020

Longitudinal Vehicle Dynamics: A Comparison of Physical and Data-Driven Models Under Large-Scale Real-World Driving Conditions.
IEEE Access, 2020

Topological Robot Localization in a Large-Scale Water Pipe Network.
Proceedings of the Towards Autonomous Robotic Systems - 21st Annual Conference, 2020

Acoustic Echo-Localization for Pipe Inspection Robots.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2020

2019
Frequency-Domain Analysis for Nonlinear Systems With Time-Domain Model Parameter Uncertainty.
IEEE Trans. Autom. Control., 2019

Sensorimotor maps can be dynamically calibrated using an adaptive-filter 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 low-power embedded GPUs.
Proceedings of the 19th International Conference on Advanced Robotics, 2019

2018
Sparse Bayesian Nonlinear System Identification Using Variational Inference.
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 multi-objective optimisation approach applied to indoor occupancy grid mapping.
Int. J. Robotics Res., 2017

Feather-Inspired Sensor for Stabilizing Unmanned Aerial Vehicles in Turbulent Conditions.
Proceedings of the Biomimetic and Biohybrid Systems - 6th International Conference, 2017

Exploiting dream-like 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 Rao-Blackwellised particle filter.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2017

2016
Computational system identification of continuous-time nonlinear systems using approximate Bayesian computation.
Int. J. Syst. Sci., 2016

Visual-tactile sensory map calibration of a biomimetic whiskered robot.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Person-specific 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

Constructing contextual SLAM priors using architectural drawings.
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

Computational system identification for Bayesian NARMAX modelling.
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

Control-Oriented Nonlinear Dynamic Modelling of Dielectric Electro-Active Polymers.
Proceedings of the Towards Autonomous Robotic Systems - 14th Annual Conference, 2013

Bioinspired Adaptive Control for Artificial Muscles.
Proceedings of the Biomimetic and Biohybrid Systems, 2013

A Bayesian framework for identifying cell migration dynamics.
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

Bioinspired Control of Electro-Active Polymers for Next Generation Soft Robots.
Proceedings of the Advances in Autonomous Robotics, 2012

2010
Adaptive Cancelation of Self-Generated Sensory Signals in a Whisking Robot.
IEEE Trans. Robotics, 2010

Nonlinear Dynamic Modeling of Isometric Force Production in Primate Eye Muscle.
IEEE Trans. Biomed. Eng., 2010

An iterative Kalman smoother/least-squares algorithm for the identification of delta-ARX models.
Int. J. Syst. Sci., 2010

2009
Cerebellar-Inspired Adaptive Control of a Robot Eye Actuated by Pneumatic Artificial Muscles.
IEEE Trans. Syst. Man Cybern. Part B, 2009

Predictive control of fast-sampled systems using the delta-operator.
Int. J. Syst. Sci., 2009

2008
Maximum-Likelihood Estimation of Delta-Domain Model Parameters From Noisy Output Signals.
IEEE Trans. Signal Process., 2008

2007
System Identification From Multiple Short-Time-Duration Signals.
IEEE Trans. Biomed. Eng., 2007

Modelling and identification of non-linear deterministic systems in the delta-domain.
Autom., 2007

2005
Multi-objective optimization of operational variables in a waste incineration plant.
Comput. Chem. Eng., 2005


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