ORCID Profile
0000-0001-8495-0246
Current Organisation
University of Melbourne
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Applied Mathematics | Control Systems, Robotics and Automation | Systems Theory And Control | Electrical and Electronic Engineering | Calculus of Variations, Systems Theory and Control Theory | Automation and Control Engineering | Mechanical Engineering | Transport Engineering | Engineering And Technology Not Elsewhere Classified | Maritime Engineering not elsewhere classified | Dynamical Systems in Applications | Manufacturing Robotics and Mechatronics (excl. Automotive Mechatronics) | Maritime Engineering | Electrical Engineering | Motor Control | Ocean Engineering | Manufacturing robotics | Control engineering mechatronics and robotics | Assistive robots and technology
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in Engineering | Mathematical sciences | Wind | Industry | Emerging Defence Technologies | Expanding Knowledge in the Medical and Health Sciences | Expanding Knowledge in Technology | Fixed Line Data Networks and Services | Machined Metal Products | Agricultural Machinery and Equipment | Environment not elsewhere classified | Expanding Knowledge in the Mathematical Sciences | Computer hardware and electronic equipment not elsewhere classified | Coastal Sea Freight Transport | Farmland, Arable Cropland and Permanent Cropland Water Management | International Sea Freight Transport (excl. Live Animal Transport) |
Related Links
Publications
Robust Visual Odometry On $\text{SE}(3)$: Design and Verification
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2023
On global extremum seeking in the presence of local extrema
Publisher: Elsevier BV
Date: 2009
Pressure Sensor Data-Driven Optimization of Combustion Phase in a Diesel Engine
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2020
Optimal iterative learning control design for multi-agent systems consensus tracking
Publisher: Elsevier BV
Date: 07-2014
On a shubert algorithm-based global Extremum Seeking Scheme
Publisher: IEEE
Date: 12-2012
On the modelling complexity and utility of an EMS system
Publisher: IEEE
Date: 12-2010
Comments on A Composite Energy Function-Based Learning Control Approach for Nonlinear Systems with Time-Varying Parametric Uncertainties
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2003
Enhancing trajectory tracking for a class of process control problems using iterative learning
Publisher: Elsevier BV
Date: 02-2002
Unified iterative learning control schemes for nonlinear dynamic systems with nonlinear input uncertainties
Publisher: Elsevier BV
Date: 12-2012
Robustness analysis of leader-follower consensus
Publisher: Springer Science and Business Media LLC
Date: 02-05-2009
Point-wise extremum seeking control scheme under repeatable control environment
Publisher: IEEE
Date: 2008
The Effects of Measurement Distance on the Broadside Symmetric Leaky Wave Antenna
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2008
Convergence and robustness of a point-to-point iterative learning control algorithm
Publisher: IEEE
Date: 12-2012
Inducing Human Motor Adaptation Without Explicit Error Feedback: A Motor Cost Approach
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Model-Guided Extremum Seeking for Diesel Engine Fuel Injection Optimization
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2018
A refinement of Matrosov’s theorem for differential inclusions
Publisher: Elsevier BV
Date: 06-2016
Model-based predictive sampled-data control and its robustness
Publisher: IEEE
Date: 05-2015
Deception Attack Detection and Estimation for a Local Vehicle in Vehicle Platooning Based on a Modified UFIR Estimator
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2020
Task-Driven Formation of Nonholonomic Vehicles With Communication Constraints
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
On reference governor in iterative learning control for dynamic systems with input saturation
Publisher: Elsevier BV
Date: 11-2011
Modeling of Endpoint Feedback Learning Implemented Through Point-to-Point Learning Control
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2017
On experimentally validated iterative learning control in human motor systems
Publisher: IEEE
Date: 06-2014
Multidimensional global extremum seeking via the DIRECT optimisation algorithm
Publisher: Elsevier BV
Date: 07-2013
Exploiting Inherent Human Motor Behaviour in the Online Personalisation of Human-Prosthetic Interfaces
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2021
Stability and Persistent Excitation in Signal Sets
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2015
Weak Monotonicity With Trend Analysis for Unsupervised Feature Evaluation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2023
Coordination of blind agents on Lie groups
Publisher: IEEE
Date: 2019
Iterative learning control design based on composite energy function with input saturation
Publisher: Elsevier BV
Date: 08-2004
Sensor Selection With Composite Features in Identifying User-Intended Poses for Human-Prosthetic Interfaces
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Feedback-Based Iterative Learning Design and Synthesis With Output Constraints for Robotic Manipulators
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2018
Closeness of solutions and averaging for nonlinear systems on Riemannian manifolds
Publisher: IEEE
Date: 11-2013
An investigation into the reliability of upper-limb robotic exoskeleton measurements for clinical evaluation in neurorehabilitation
Publisher: IEEE
Date: 04-2015
On non-local stability properties of extremum seeking control
Publisher: Elsevier BV
Date: 06-2006
A dual Iterative learning control loops for cascade systems
Publisher: IEEE
Date: 05-2012
Tri-Space Operational Control of Redundant Multilink and Hybrid Cable-Driven Parallel Robots Using an Iterative-Learning-Based Reactive Approach
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2023
Optimization of Directional Landmark Deployment for Visual Observer on SE(3)
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2023
Nonlinear model reference observer design for feedback control of a low temperature combustion diesel engine
Publisher: IEEE
Date: 07-2015
On on-line sampled-data optimal learning for dynamic systems with uncertainties
Publisher: IEEE
Date: 06-2013
Speed control of non-collocated stator-rotor synchronous motor with application in robotic surgery
Publisher: IEEE
Date: 05-2015
Stereotype formation: Biased by association.
Publisher: American Psychological Association (APA)
Date: 2010
DOI: 10.1037/A0018210
Abstract: We propose that biases in attitude and stereotype formation might arise as a result of learned differences in the extent to which social groups have previously been predictive of behavioral or physical properties. Experiments 1 and 2 demonstrate that differences in the experienced predictiveness of groups with respect to evaluatively neutral information influence the extent to which participants later form attitudes and stereotypes about those groups. In contrast, Experiment 3 shows no influence of predictiveness when using a procedure designed to emphasize the use of higher level reasoning processes, a finding consistent with the idea that the root of the predictiveness bias is not in reasoning. Experiments 4 and 5 demonstrate that the predictiveness bias in formation of group beliefs does not depend on participants making global evaluations of groups. These results are discussed in relation to the associative mechanisms proposed by Mackintosh (1975) to explain similar phenomena in animal conditioning and associative learning.
Iterative learning control with mixed constraints for point-to-point tracking
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2013
Magnetic-based Soft Tactile Sensors with Deformable Continuous Force Transfer Medium for Resolving Contact Locations in Robotic Grasping and Manipulation
Publisher: MDPI AG
Date: 12-11-2019
DOI: 10.3390/S19224925
Abstract: The resolution of contact location is important in many applications in robotics and automation. This is generally done by using an array of contact or tactile receptors, which increases cost and complexity as the required resolution or area is increased. Tactile sensors have also been developed using a continuous deformable medium between the contact and the receptors, which allows few receptors to interpolate the information among them, avoiding the weakness highlighted in the former approach. The latter is generally used to measure contact force intensity or magnitude but rarely used to identify the contact locations. This paper presents a systematic design and characterisation procedure for magnetic-based soft tactile sensors (utilizing the latter approach with the deformable contact medium) with the goal of locating the contact force location. This systematic procedure provides conditions under which design parameters can be selected, supported by a selected machine learning algorithm, to achieve the desired performance of the tactile sensor in identifying the contact location. An illustrative ex le, which combines a particular sensor configuration (magnetic hall effect sensor as the receptor, a selected continuous medium and a selected sensing resolution) and a specific data-driven algorithm, is used to illustrate the proposed design procedure. The results of the illustrative ex le design demonstrates the efficacy of the proposed design procedure and the proposed sensing strategy in identifying a contact location. The resulting sensor is also tested on a robotic hand (Allegro Hand, SimLab Co) to demonstrate its application in real-world scenarios.
Extremum seeking for constrained inputs
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2013
Disturbance Rejection in Multi-DOF Local Magnetic Actuation for the Robotic Abdominal Surgery
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2018
A suboptimal learning control scheme for non-linear systems with time-varying parametric uncertainties
Publisher: Wiley
Date: 2001
DOI: 10.1002/OCA.687
Unified frameworks for sampled-data extremum seeking control: Global optimisation and multi-unit systems
Publisher: Elsevier BV
Date: 09-2013
Distributed Deception Attack Detection in Platoon-Based Connected Vehicle Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2020
On P-type iterative learning control for nonlinear systems without global Lipschitz continuity condition
Publisher: IEEE
Date: 07-2015
Evaluating Rehabilitation Progress Using Motion Features Identified by Machine Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2021
On sign-definite pairs of functions
Publisher: IEEE
Date: 06-2014
Trajectory redundancy iterative learning control
Publisher: IEEE
Date: 10-2013
Social acceptability of fuel management in the Australian Capital Territory and surrounding region
Publisher: CSIRO Publishing
Date: 2016
DOI: 10.1071/WF15164
Abstract: Managing fuel to reduce wildland fire risk often creates substantial public debate. Although the acceptability of various fuel management strategies has been explored in some regions, particularly North America, the social acceptability of fuel management is less well understood in other countries. This paper begins to address this knowledge gap by exploring acceptability by residents living in and near the Australian Capital Territory, Australia of three fuel management strategies (prescribed burning, livestock grazing and mechanical thinning) used to reduce wildland fire risk to life and property. All three were considered acceptable by most survey respondents. Acceptability did not vary substantially between strategies or by the location in which the strategy was undertaken. Acceptability of fuel management was associated with trust in fire management agencies, having knowledge of fuel management, feeling vulnerable to wildland fire and respondent characteristics such as previous effects of wildland fires, location of residence, gender, age, income and employment status.
Robustness of Vibrational Control in the Presence of Additive Disturbances
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2022
Sufficient Conditions for Stabilization of Sampled-data Linear Spatially Distributed Parameter Systems via Discrete time Approximations
Publisher: IEEE
Date: 02-2007
Extremum seeking of dynamical systems via gradient descent and stochastic approximation methods
Publisher: Elsevier BV
Date: 06-2015
On iterative learning control for synchronization of MIMO heterogeneous systems
Publisher: IEEE
Date: 11-2013
Effect of sensory experience on motor learning strategy
Publisher: American Physiological Society
Date: 15-02-2015
Abstract: It is well known that the central nervous system automatically reduces a mismatch in the visuomotor coordination. Can the underlying learning strategy be modified by environmental factors or a subject's learning experiences? To elucidate this matter, two groups of subjects learned to execute reaching arm movements in environments with task-irrelevant visual cues. However, one group had previous experience of learning these movements using task-relevant visual cues. The results demonstrate that the two groups used different learning strategies for the same visual environment and that the learning strategy was influenced by prior learning experience.
On the P-type and Newton-type ILC schemes for dynamic systems with non-affine-in-input factors
Publisher: Elsevier BV
Date: 07-2002
Beta Mixture Model for the Uncertainties in Robotic Haptic Object Identification
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2022
Detectability and Uniform Global Asymptotic Stability in Switched Nonlinear Time-Varying Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2020
Personalized Online Adaptation of Kinematic Synergies for Human-Prosthesis Interfaces
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2021
On the finite time performance of model predictive control
Publisher: Elsevier BV
Date: 08-2014
On modeling and control for a maglev system
Publisher: Elsevier BV
Date: 09-2010
Application of the extended technology acceptance model to explore clinician likelihood to use robotics in rehabilitation
Publisher: Informa UK Limited
Date: 09-04-2022
DOI: 10.1080/17483107.2022.2060356
Abstract: Evidence suggests that patients with upper limb impairment following a stroke do not receive recommended amounts of motor practice. Robotics provide a potential solution to address this gap, but clinical adoption is low. The aim of this study was to utilize the technology acceptance model as a framework to identify factors influencing clinician adoption of robotic devices into practice. Mixed methods including survey data and focus group discussions with allied health clinicians whose primary caseload was rehabilitation of the neurologically impaired upper limb. Surveys based on the technology acceptance measure were completed pre ost exposure to and use of a robotic device. Focus groups discussions based on the theory of planned behaviour were conducted at the conclusion of the study. A total of 34 rehabilitation clinicians completed the surveys with pre-implementation data indicating that rehabilitation clinicians perceive robotic devices as complex to use, which influenced intention to use such devices in practice. The focus groups found that lack of experience and time to learn influenced confidence to implement robotic devices into practice. This study found that perceived usefulness and perceived ease of use of a robotic device in clinical rehabilitation can be improved through experience, training and embedded technological support. However, training and embedded support are not routinely offered, suggesting there is a discordance between current implementation and the learning needs of rehabilitation clinicians.IMPLICATIONS FOR REHABILITATIONPatients do not receive adequate amounts of upper limb motor practice following a stroke, and although robotic devices have the potential to address this gap, clinical adoption is low.The technology acceptance model identified that clinicians perceive robotic devices to be complex to use with current implementation efforts failing to consider their training needs.Implementation adoption of robotic devices in rehabilitation should be supported with adequate training and technological support if sustainable practice change is to be achieved.
Stability analysis for linear networked predictive control based on average dwell time method
Publisher: IEEE
Date: 06-2015
Effects of robotic exoskeleton dynamics on joint recruitment in a neurorehabilitation context
Publisher: IEEE
Date: 08-2015
Open problems in reset control
Publisher: IEEE
Date: 12-2013
On extremum seeking in bioprocesses with multivalued cost functions
Publisher: Wiley
Date: 24-03-2009
DOI: 10.1002/BTPR.87
Abstract: Finding optimal operating modes for bioprocesses has been, for a long time, a relevant issue in bioengineering. The problem is of special interest when it implies the simultaneous optimization of competing objectives. In this paper, we address the problem of finding optimal steady states that achieve the best tradeoff between yield and productivity by using nonmodel-based extremum-seeking control with semiglobal practical stability and convergence properties. A special attention is paid to processes with multiple steady states and multivalued cost functions.
Analyzing the Stability of Switched Systems Using Common Zeroing-Output Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2017
Robustness analysis of leader-follower consensus
Publisher: IEEE
Date: 07-2008
On iterative learning control with high-order internal models
Publisher: IEEE
Date: 12-2009
Interaction Force Estimation Using Extended State Observers: An Application to Impedance-Based Assistive and Rehabilitation Robotics
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2019
Robust Admittance Control With Complementary Passivity
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Dynamic practical stabilization of sampled-data linear distributed parameter systems
Publisher: IEEE
Date: 12-2009
Uncertainties in the Analysis of Heart Rate Variability: A Systematic Review
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Modeling and control of complex networked systems
Publisher: Hindawi Limited
Date: 2014
DOI: 10.1155/2014/831582
Remote State Estimation With Enhanced Robustness in the Presence of Data Packet Dropouts
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2022
Lavoisier’s “Reflections on phlogiston” II: on the nature of heat
Publisher: Springer Science and Business Media LLC
Date: 16-07-2015
On Active Disturbance Rejection Control for Unmanned Tracked Ground Vehicles with Nonsmooth Disturbances
Publisher: World Scientific Pub Co Pte Ltd
Date: 13-07-2023
DOI: 10.1142/S2301385024500353
Abstract: This paper proposes robust controllers for a class of unmanned tracked ground vehicles (UTGVs), which are built to autonomously clean carryback or spillage from the conveyor belts used in the mining industry. The UTGV, a nonholonomic system in its nature, needs to follow a given path in a harsh environment with large uncertainties due to the time-varying mass and inertia when the UTGV loads and unloads as well as unknown frictions and flatness of the ground. Moreover, the input constraints coming from motors do exist. It is usually hard to design robust controllers for such complex systems. By utilizing the available autonomous driving system, which is designed to be compatible with the existing remote motion controller in unmanned systems to generate autonomous ability, this paper uses the off-the-shelf motion planner to calculate desired linear and angular velocities based on the given path and sensor perceptions. Consequently, the control design can be simplified as two decoupled linear time-invariant scalar dynamic systems with uncertainties, making the active disturbance rejection controller (ADRC) applicable. By carefully designing the parameters of ADRC with the help of an extended state observer (ESO), it is shown that the proposed ADRC and ESO can achieve good tracking performance in the presence of input saturation and can handle nonsmooth disturbances. The proposed simulation results and experimental results support the theoretical findings.
Invariance Principles and Observability in Switched Systems With an Application in Consensus
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2021
On the choice of dither in extremum seeking systems: A case study
Publisher: Elsevier BV
Date: 05-2008
On sampled-data extremum seeking control via stochastic approximation methods
Publisher: IEEE
Date: 06-2013
Iterative Learning Operation Control of High-Speed Trains With Adhesion Dynamics
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2021
Modeling and Control of Local Electromagnetic Actuation for Robotic-Assisted Surgical Devices
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2017
Modelling and control for an EMS system with two inputs
Publisher: Inderscience Publishers
Date: 2012
Input‐mapping based data‐driven model predictive control for unknown linear systems via online learning
Publisher: Wiley
Date: 16-06-2022
DOI: 10.1002/RNC.6237
Extremum Seeking Control With Sporadic Packet Transmission for Networked Control Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2020
Multi-agent source seeking via discrete-time extremum seeking control
Publisher: Elsevier BV
Date: 09-2014
Robustness analysis of leader-follower consensus for multi-agent systems characterized by double integrators
Publisher: Elsevier BV
Date: 11-2012
Robust optimal design and convergence properties analysis of iterative learning control approaches
Publisher: Elsevier BV
Date: 11-2002
Task-Space Synergies for Reaching Using Upper-Limb Prostheses
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2020
New stability criteria for switched time-varying systems: Output-persistently exciting conditions
Publisher: IEEE
Date: 12-2011
A Multi-Processor Implementation for Networked Control Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Nonlinear adaptive wavelet control using constructive wavelet networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2007
A note on robustness of linear spatially distributed parameter systems and their numerical approximations
Publisher: IEEE
Date: 2007
Limiting Behavior of Hybrid Time-Varying Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2022
Assessment of gradient-based point-to-point ILC for MIMO systems with varying interaction
Publisher: IEEE
Date: 10-2012
Human motor learning through iterativemodel reference adaptive control
Publisher: Elsevier BV
Date: 2011
Upper Limb Deweighting Using Underactuated End-Effector-Based Backdrivable Manipulanda
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2018
Performance analysis of iterative algorithms for sylvester equations
Publisher: IEEE
Date: 06-2010
Electromagnetic Actuator Across Abdominal Wall for Minimally Invasive Robotic Surgery1
Publisher: ASME International
Date: 09-2015
DOI: 10.1115/1.4030568
Modeling individual human motor behavior through model reference iterative learning control
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2012
Feature Identification Framework for Back Injury Risk in Repetitive Work With Application in Sheep Shearing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2023
Linear Diophantine equation (LDE) decoder: A training‐free decoding algorithm for multifrequency SSVEP with reduced computation cost
Publisher: Wiley
Date: 02-03-2023
DOI: 10.1002/ASJC.3050
Abstract: Multifrequency steady‐state visual evoked potentials (SSVEPs) have been developed to extend the capability of SSVEP‐based brain‐machine interfaces (BMIs) to complex applications that have large numbers of targets. Even though various multifrequency stimulation methods have been introduced, the decoding algorithms for multifrequency SSVEP are still in early development. The recently developed multifrequency canonical correlation analysis (MFCCA) was shown to be a feasible training‐free option to use in decoding multifrequency SSVEPs. However, the time complexity of MFCCA is shown to be , which will lead to long computation time as grows, where represents the input size in decoding. In this paper, a novel decoding algorithm is proposed with the aim to reduce the time complexity. This algorithm is based on linear Diophantine equation solvers and has a reduced computation cost while remaining training‐free. Our simulation results demonstrated that linear Diophantine equation (LDE) decoder run time is only one fifth of MFCCA run time under respective optimal settings on 5‐s single‐channel data. This reduced computation cost makes it easier to implement multifrequency SSVEP in real‐time systems. The effectiveness of this new decoding algorithm is validated with nine healthy participants when using dry electrode scalp electroencephalography (EEG).
Iterative learning control and repetitive control
Publisher: Informa UK Limited
Date: 07-2011
Extremum Seeking Control With Input Dead-Zone
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2020
Averaging for nonlinear systems on Riemannian manifolds
Publisher: IEEE
Date: 12-2013
Extremum seeking control for nonlinear systems on compact Riemannian manifolds
Publisher: IEEE
Date: 12-2014
Related Organisations
Related Funding Activities
Finite-dimensional Sampled-data Control Of Nonlinear Spatially Distributed Parameter Systems
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End Date: 2009
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End Date: 2014
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End Date: 2012
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View Funded ActivityLearning Control And Computational Models Of Human Motor Systems
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End Date: 2015
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View Funded ActivityShared Control Framework For Human-robot Collaborative Team
Start Date: 2018
End Date: 2018
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End Date: 2018
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View Funded ActivityPersonalised Assistive Robotic Systems: Optimised Collaborative Teaming
Start Date: 2020
End Date: 2023
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