Sean Anderson (0000-0002-7452-5681)

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Dr Sean Anderson is a lecturer in the Department of Automatic Control and Systems Engineering, University of Sheffield; He received the MEng degree in Control Systems Engineering from the Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, U.K., in 2001, and the PhD degree from the Department of Chemical and Process Engineering, University of Sheffield, in 2005. He then moved to the Centre for Signal Processing in Neuroimaging and Systems Neuroscience at the Department of Psychology, University of Sheffield, where he worked as a Research Associate from 2005-2010. He moved to the Department of Automatic Control and Systems Engineering in 2010 where he is currently pursuing research themes in bioinspired robotics as well as adaptive and optimal control in biological systems.

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University of Sheffield: Sheffield, Sheffield, GB

2015-01-01 to present | Senior Lecturer (Automatic Control and Systems Engineering)

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Sean Anderson

https://orcid.org/0000-0002-7452-5681

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Employment (2)

University of Sheffield: Sheffield, Sheffield, GB

University of Sheffield: Sheffield, Sheffield, GB

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University of Sheffield: Sheffield, Sheffield, GB

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Pervasive Sensing for Buried Pipes

Computational Neuroscience & Machine Learning

ASSESSING THE UNDERWORLD - AN INTEGRATED PERFORMANCE MODEL OF CITY INFRASTRUCTURES

Bioinspired Control of Electro-Active Polymers for Next Generation Soft Robots

Works (50 of 92)

Acoustic Echo Sensing for Robot Localization in Buried Pipe Networks

Interpretable Deep Learning for Nonlinear System Identification Using Frequency Response Functions With Ensemble Uncertainty Quantification

Sensor placement for data assimilation of turbulence models using eigenspace perturbations

A robust method for approximate visual robot localization in feature-sparse sewer pipes

Acoustic Echo Sensing for Robot Localization in Buried Pipe Networks

Holistic Self-Distillation with the Squeeze and Excitation Network for Fine-grained Plant Pathology Classification

Microphone array analysis for simultaneous condition detection, localization, and classification in a pipe

Plant leaf deep semantic segmentation and a novel benchmark dataset for morning glory plant harvesting

Visual Simultaneous Localization and Mapping for Sewer Pipe Networks Leveraging Cylindrical Regularity

Fast Tube Model Predictive Control for Driverless Cars Using Linear Data-Driven Models

A Deep Learning Method with Cross Dropout Focal Loss Function for Imbalanced Semantic Segmentation

An Open-source Adjoint-based Field Inversion Tool for Data-driven RANS Modelling

Improving SLAM in Pipe Networks by Leveraging Cylindrical Regularity

Simultaneous Localization and Mapping for Inspection Robots in Water and Sewer Pipe Networks: A Review

Toward Robust Visual Odometry Using Prior 2D Map Information and Multiple Hypothesis Particle Filtering

Assessing the feasibility of monocular visual simultaneous localization and mapping for live sewer pipes: a field robotics study

Robust top-down and bottom-up visual saliency for mobile robots using bio-inspired design principles

Robot Localization in a Pipe Network using a Particle Filter with Error Detection and Recovery in a Hybrid Metric-Topological Space

Robust Efficient Localization of Robots in Pipe Networks using a Particle Filter for Hybrid Metric-Topological Space

Linear System Identification Versus Physical Modeling of Lateral–Longitudinal Vehicle Dynamics

Assessing Ground Support of Plastic Pipes Using Ultrasound

A multizone cerebellar chip for bioinspired adaptive robot control and sensorimotor processing

A temporal-to-spatial deep convolutional neural network for classification of hand movements from multichannel electromyography data

Acoustic Echo-Localization for Pipe Inspection Robots

Longitudinal Vehicle Dynamics: A Comparison of Physical and Data-Driven Models under Large-Scale Real-World Driving Conditions

Robot localization in water pipes using acoustic signals and pose graph optimization

Topological Robot Localization in a Large-Scale Water Pipe Network

World Statistics Drive Learning of Cerebellar Internal Models in Adaptive Feedback Control: A Case Study Using the Optokinetic Reflex

Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks

Foveated Image Processing for Faster Object Detection and Recognition in Embedded Systems Using Deep Convolutional Neural Networks

Visual saliency with foveated images for fast object detection and recognition in mobile robots using low-power embedded GPUs

Sensorimotor maps can be dynamically calibrated using an adaptive-filter model of the cerebellum

Frequency-Domain Analysis for Nonlinear Systems With Time-Domain Model Parameter Uncertainty

A Data-Driven Framework for Identifying Tropical Wetland Model

Compact deep neural networks for computationally efficient gesture classification from electromyography signals

Compact Deep Neural Networks for Computationally Efficient Gesture Classification from Electromyography Signals

Integrating brain and biomechanical models-A new paradigm for understanding neuro-muscular control

Linear System Identification of Longitudinal Vehicle Dynamics Versus Nonlinear Physical Modelling

Sparse Bayesian Nonlinear System Identification Using Variational Inference

Top-down bottom-up visual saliency for mobile robots using deep neural networks and task-independent feature maps

Simultaneous Force Regression and Movement Classification of Fingers via Surface EMG within a Unified Bayesian Framework

Constructing informative Bayesian map priors: A multi-objective optimisation approach applied to indoor occupancy grid mapping

Exploiting dream-like simulation mechanisms to develop safer agents for automated driving: The 'Dreams4Cars' EU research and innovation action

Feather-Inspired Sensor for Stabilizing Unmanned Aerial Vehicles in Turbulent Conditions

Frequency and function in the basal ganglia: the origins of beta and gamma band activity

PipeSLAM: Simultaneous Localisation and Mapping in Feature Sparse Water Pipes using the Rao-Blackwellised Particle Filter

Robot mapping and localisation in metal water pipes using hydrophone induced vibration and map alignment by dynamic time warping

Target-distractor synchrony affects performance in a novel motor task for studying action selection

Target-distractor synchrony affects performance in a novel motor task for studying action selection

Cerebellar-inspired algorithm for adaptive control of nonlinear dielectric elastomerbased artificial muscle