All Outputs (1439)

A fast and robust deep convolutional neural networks for complex human activity recognition using smartphone (2019)
Journal Article

© 2019 by the authors. Licensee MDPI, Basel, Switzerland. As a significant role in healthcare and sports applications, human activity recognition (HAR) techniques are capable of monitoring humans’ daily behavior. It has spurred the demand for intelli... Read More about A fast and robust deep convolutional neural networks for complex human activity recognition using smartphone.

Neural network enhanced robot tool identification and calibration for bilateral teleoperation (2019)
Journal Article

© 2013 IEEE. In teleoperated surgery, the transmission of force feedback from the remote environment to the surgeon at the local site requires the availability of reliable force information in the system. In general, a force sensor is mounted between... Read More about Neural network enhanced robot tool identification and calibration for bilateral teleoperation.

Deep neural network approach in human-like redundancy optimization for anthropomorphic manipulators (2019)
Journal Article

© 2013 IEEE. Human-like behavior has emerged in the robotics area for improving the quality of Human-Robot Interaction (HRI). For the human-like behavior imitation, the kinematic mapping between a human arm and robot manipulator is one of the popular... Read More about Deep neural network approach in human-like redundancy optimization for anthropomorphic manipulators.

MPC-based 3-D trajectory tracking for an autonomous underwater vehicle with constraints in complex ocean environments (2019)
Journal Article

© 2019 Elsevier Ltd This paper presents a novel three-dimension (3-D) underwater trajectory tracking method for an autonomous underwater vehicle (AUV) using model predictive control (MPC). First, the 6-degrees of freedom (DoF) model of a fully-actuat... Read More about MPC-based 3-D trajectory tracking for an autonomous underwater vehicle with constraints in complex ocean environments.

Onboard Evolution of Understandable Swarm Behaviors (2019)
Journal Article

Designing the individual robot rules that give rise to desired emergent swarm behaviors is difficult. The common method of running evolutionary algorithms off‐line to automatically discover controllers in simulation suffers from two disadvantages: th... Read More about Onboard Evolution of Understandable Swarm Behaviors.

Bio-inspired approach for long-range underwater navigation using model predictive control (2019)
Journal Article

Lots of evidence has indicated that many kinds of animals can achieve goal-oriented navigation by spatial cognition and dead reckoning. The geomagnetic field (GF) is a ubiquitous cue for navigation by these animals. Inspired by the goal-oriented navi... Read More about Bio-inspired approach for long-range underwater navigation using model predictive control.

Unknown dynamics estimator-based output-feedback control for nonlinear pure-feedback systems (2019)
Journal Article

Most existing adaptive control designs for nonlinear pure-feedback systems have been derived based on backstepping or dynamic surface control (DSC) methods, requiring full system states to be measurable. The neural networks (NNs) or fuzzy logic syste... Read More about Unknown dynamics estimator-based output-feedback control for nonlinear pure-feedback systems.

Personalised profiling to identify clinically relevant changes in tremor due to multiple sclerosis (2019)
Journal Article

Background: There is growing interest in sensor-based assessment of upper limb tremor in multiple sclerosis and other movement disorders. However, previously such assessments have not been found to offer any improvement over conventional clinical obs... Read More about Personalised profiling to identify clinically relevant changes in tremor due to multiple sclerosis.

New studies on network frequency responses considering dynamic loads (2019)
Journal Article

The dynamic model construction of transmission network components that include generator buses, load buses and power branches, within MATLAB-Simulink environment is presented. The degree of frequency deviation of buses when the power of motor loads a... Read More about New studies on network frequency responses considering dynamic loads.

Removal of Hepatitis B virus surface HBsAg and core HBcAg antigens using microbial fuel cells producing electricity from human urine (2019)
Journal Article

© 2019, The Author(s). Microbial electrochemical technology is emerging as an alternative way of treating waste and converting this directly to electricity. Intensive research on these systems is ongoing but it currently lacks the evaluation of possi... Read More about Removal of Hepatitis B virus surface HBsAg and core HBcAg antigens using microbial fuel cells producing electricity from human urine.

Disturbance observer-based neural network control of cooperative multiple manipulators with input saturation (2019)
Journal Article

In this paper, the complex problems of internal forces and position control are studied simultaneously and a disturbance observer-based radial basis function neural network (RBFNN) control scheme is proposed to: 1) estimate the unknown parameters acc... Read More about Disturbance observer-based neural network control of cooperative multiple manipulators with input saturation.

Experimental investigation of high velocity oblique impact and residual tensile strength of carbon/epoxy laminates (2019)
Journal Article

Composite components are required to be resilient against Foreign Object Damage (FOD) induced by localised high velocity impact events. Here an experimental investigation into high velocity oblique impacts and residual tensile strength of thin quasi-... Read More about Experimental investigation of high velocity oblique impact and residual tensile strength of carbon/epoxy laminates.

Neural adaptive global stability control for robot manipulators with time-varying output constraints (2019)
Journal Article

© 2019 John Wiley & Sons, Ltd. In this paper, a novel adaptive control scheme is proposed based on radial basis function neural network (RBFNN). The considered system is deduced by the structure of RBFNN with nonzero time-varying parameter that ins... Read More about Neural adaptive global stability control for robot manipulators with time-varying output constraints.

Generating spatial referring expressions in a social robot: Dynamic vs. non-ambiguous (2019)
Journal Article

Generating spatial referring expressions is key to allowing robots to communicate with people in an environment. The focus of most algorithms for generation is to create a non-ambiguous description, and how best to deal with the combination explosion... Read More about Generating spatial referring expressions in a social robot: Dynamic vs. non-ambiguous.

Rapid, automated, test, verification and validation for the CubeSats (2019)
Journal Article

Bringing up of a small-scale mission assurance and engineering workflow is described. The experiences learned in the ZACUBE-1 mission prompted the development of an automated systems engineering platform leading to conformity in system design, test,... Read More about Rapid, automated, test, verification and validation for the CubeSats.

Investigating polyethersulfone interleaved Glass/Carbon hybrid composite under impact and its comparison with GLARE (2019)
Journal Article

A tough polyethersulfone (PES) membrane was utilized as a novel reinforcement to improve impact performance of a carbon/glass hybrid composite. The hybrid composite was made of a glass fibre/epoxy block that was sandwiched between two carbon fibre/ep... Read More about Investigating polyethersulfone interleaved Glass/Carbon hybrid composite under impact and its comparison with GLARE.

Supercapacitive paper based microbial fuel cell: High current/power production within a low cost design (2019)
Journal Article

Microbial fuel cells (MFCs) with paper separators and liquid containing elements were investigated in supercapacitive mode. MFCs (15 mL) in a supercapacitive configuration, consisted of plain wrapped carbon veil anode (negative) and conductive latex... Read More about Supercapacitive paper based microbial fuel cell: High current/power production within a low cost design.

Verification of a low fidelity fast simulation framework through RANS simulations (2019)
Journal Article

© 2019, The Author(s). Verification and validation of simulation models are critical steps in engineering. This paper aims at verifying the suitability of reduced order aerodynamic models used in an aeroservoelastic framework designed to analyze the... Read More about Verification of a low fidelity fast simulation framework through RANS simulations.

Identifying Verticillium dahliae resistance in strawberry through disease screening of multiple populations and image based phenotyping (2019)
Journal Article

© 2019 Cockerton, Li, Vickerstaff, Eyre, Sargent, Armitage, Marina-Montes, Garcia-Cruz, Passey, Simpson and Harrison. Verticillium dahliae is a highly detrimental pathogen of soil cultivated strawberry (Fragaria x ananassa). Breeding of Verticillium... Read More about Identifying Verticillium dahliae resistance in strawberry through disease screening of multiple populations and image based phenotyping.

Uncertainty and disturbance estimator-based control of a flapping-wing aerial vehicle withwith unknown backlash-like hysteresis (2019)
Journal Article

Robust and accurate control of a flapping-wing aerial vehicle (FWAV) system is a challenging problem due to the existence of backlash-like hysteresis nonlinearity. This paper proposes uncertainty and disturbance estimator (UDE)-based control with out... Read More about Uncertainty and disturbance estimator-based control of a flapping-wing aerial vehicle withwith unknown backlash-like hysteresis.