ORCID Profile
0000-0002-7035-3173
Current Organisation
University of Sydney
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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.
Control Systems, Robotics and Automation | Calculus of Variations, Systems Theory and Control Theory | Applied Mathematics | Control engineering mechatronics and robotics | Control engineering | Adaptive Agents and Intelligent Robotics | Infrastructure Engineering and Asset Management | Artificial Intelligence and Image Processing | Electrical and Electronic Engineering | Pattern Recognition and Data Mining | Calculus of variations mathematical aspects of systems theory and control theory
Expanding Knowledge in Engineering | Expanding Knowledge in Technology | Expanding Knowledge in the Information and Computing Sciences | National Security |
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: SAGE Publications
Date: 07-12-2011
Abstract: A motion planning algorithm is described for bounding over rough terrain with the LittleDog robot. Unlike walking gaits, bounding is highly dynamic and cannot be planned with quasi-steady approximations. LittleDog is modeled as a planar five-link system, with a 16-dimensional state space computing a plan over rough terrain in this high-dimensional state space that respects the kinodynamic constraints due to underactuation and motor limits is extremely challenging. Rapidly Exploring Random Trees (RRTs) are known for fast kinematic path planning in high-dimensional configuration spaces in the presence of obstacles, but search efficiency degrades rapidly with the addition of challenging dynamics. A computationally tractable planner for bounding was developed by modifying the RRT algorithm by using: (1) motion primitives to reduce the dimensionality of the problem (2) Reachability Guidance, which dynamically changes the s ling distribution and distance metric to address differential constraints and discontinuous motion primitive dynamics and (3) s ling with a Voronoi bias in a lower-dimensional “task space” for bounding. Short trajectories were demonstrated to work on the robot, however open-loop bounding is inherently unstable. A feedback controller based on transverse linearization was implemented, and shown in simulation to stabilize perturbations in the presence of noise and time delays.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2017
Publisher: Elsevier BV
Date: 05-2008
Publisher: IEEE
Date: 12-2010
Publisher: Elsevier BV
Date: 10-2018
Publisher: IEEE
Date: 11-2015
Publisher: IEEE
Date: 12-2016
Publisher: IEEE
Date: 05-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2023
Publisher: IEEE
Date: 12-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: IEEE
Date: 2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: IEEE
Date: 10-2007
Publisher: IEEE
Date: 06-2014
Publisher: Elsevier BV
Date: 2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2021
Publisher: IEEE
Date: 02-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2021
Publisher: IEEE
Date: 07-2016
Publisher: Elsevier BV
Date: 07-2012
Publisher: Elsevier BV
Date: 07-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2008
Publisher: IEEE
Date: 10-2007
Publisher: IEEE
Date: 08-2007
Publisher: SAGE Publications
Date: 24-01-2011
Abstract: We propose a constructive control design for stabilization of non-periodic trajectories of underactuated robots. An important ex le of such a system is an underactuated “dynamic walking” biped robot traversing rough or uneven terrain. The stabilization problem is inherently challenging due to the nonlinearity, open-loop instability, hybrid (impact) dynamics, and target motions which are not known in advance. The proposed technique is to compute a transverse linearization about the desired motion: a linear impulsive system which locally represents “transversal” dynamics about a target trajectory. This system is then exponentially stabilized using a modified receding-horizon control design, providing exponential orbital stability of the target trajectory of the original nonlinear system. The proposed method is experimentally verified using a compass-gait walker: a two-degree-of-freedom biped with hip actuation but pointed stilt-like feet. The technique is, however, very general and can be applied to a wide variety of hybrid nonlinear systems.
Publisher: IEEE
Date: 10-2006
Publisher: IEEE
Date: 2008
Publisher: IEEE
Date: 12-2010
Publisher: IEEE
Date: 07-2017
Publisher: IEEE
Date: 04-2011
Publisher: IEEE
Date: 06-2014
Publisher: SAGE Publications
Date: 22-04-2010
Abstract: Advances in the direct computation of Lyapunov functions using convex optimization make it possible to efficiently evaluate regions of attraction for smooth non-linear systems. Here we present a feedback motion-planning algorithm which uses rigorously computed stability regions to build a sparse tree of LQR-stabilized trajectories. The region of attraction of this non-linear feedback policy “probabilistically covers” the entire controllable subset of state space, verifying that all initial conditions that are capable of reaching the goal will reach the goal. We numerically investigate the properties of this systematic non-linear feedback design algorithm on simple non-linear systems, prove the property of probabilistic coverage, and discuss extensions and implementation details of the basic algorithm.
Publisher: American Institute of Aeronautics and Astronautics (AIAA)
Date: 11-2004
DOI: 10.2514/1.3371
Publisher: IEEE
Date: 05-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2022
Publisher: Springer Berlin Heidelberg
Date: 2011
Publisher: IEEE
Date: 2007
Publisher: IEEE
Date: 11-2015
Publisher: Elsevier BV
Date: 07-2017
Publisher: Elsevier BV
Date: 2011
Publisher: IEEE
Date: 05-2018
Publisher: IOP Publishing
Date: 05-10-2007
DOI: 10.1088/0967-3334/28/11/003
Abstract: Idiopathic normal pressure hydrocephalus (INPH) patients have a disturbance in the dynamics of the cerebrospinal fluid (CSF) system. The outflow conductance, C, of the CSF system has been suggested to be prognostic for positive outcome after treatment with a CSF shunt. All current methods for estimation of C have drawbacks these include lack of information on the accuracy and relatively long investigation times. Thus, there is a need for improved methods. To accomplish this, the theoretical framework for a new adaptive observer (OBS) was developed which provides real-time estimation of C. The aim of this study was to evaluate the OBS method and to compare it with the constant pressure infusion (CPI) method. The OBS method was applied to data from infusion investigations performed with the CPI method. These consisted of repeated measurements on an experimental set-up and 30 patients with suspected INPH. There was no significant difference in C between the CPI and the OBS method for the experimental set-up. For the patients there was a significant difference, -0.84+/-1.25 microl (s kPa)(-1), mean +/- SD (paired s le t-test, p<0.05). However, such a difference is within clinically acceptable limits. This encourages further development of this new real-time approach for estimation of the outflow conductance.
Publisher: IEEE
Date: 12-2016
Publisher: IEEE
Date: 12-2011
Publisher: Elsevier BV
Date: 03-2015
Publisher: Elsevier BV
Date: 05-2006
Publisher: IEEE
Date: 12-2010
Publisher: Elsevier BV
Date: 2011
Publisher: Elsevier BV
Date: 10-2007
Publisher: IEEE
Date: 12-2017
Publisher: Elsevier BV
Date: 2011
Publisher: Elsevier BV
Date: 2014
Publisher: American Institute of Aeronautics and Astronautics (AIAA)
Date: 03-2006
DOI: 10.2514/1.13275
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2019
Publisher: IEEE
Date: 05-2014
Publisher: Elsevier BV
Date: 07-2017
Publisher: IEEE
Date: 06-2018
Publisher: Springer Science and Business Media LLC
Date: 06-08-2010
DOI: 10.1007/S11517-010-0670-6
Abstract: Hydrocephalus is related to a disturbed cerebrospinal fluid (CSF) system. For diagnosis, lumbar infusion test are performed to estimate outflow conductance, C (out), and pressure volume index, PVI, of the CSF system. Infusion patterns and analysis methods used in current clinical practice are not optimized. Minimizing the investigation time with sufficient accuracy is of major clinical relevance. The aim of this study was to propose and experimentally evaluate a new method, the oscillating pressure infusion (OPI). The non-linear model of the CSF system was transformed into a linear time invariant system. Using an oscillating pressure pattern and linear system identification methods, C (out) and PVI with confidence intervals, were estimated in real-time. Forty-two OPI and constant pressure infusion (CPI) investigations were performed on an experimental CSF system, designed with PVI = 25.5 ml and variable C (out). The ARX model robustly estimated C (out) (mean C (out,OPI) - C (out,CPI) = 0.08 μl/(s kPa), n = 42, P = 0.68). The Box-Jenkins model proved most reliable for PVI (23.7 ± 2.0 ml, n = 42). The OPI method, with its oscillating pressure pattern and new parameter estimation methods, efficiently estimated C (out) and PVI as well as their confidence intervals in real-time. The results from this experimental study show potential for the OPI method and supports further evaluation in a clinical setting.
Publisher: IEEE
Date: 2003
Publisher: IEEE
Date: 05-2017
Publisher: Hindawi Limited
Date: 28-12-2012
DOI: 10.1111/ANE.12063
Abstract: Infusion tests are used to diagnose and select patients with idiopathic normal pressure hydrocephalus (INPH) for shunt surgery. The test characterizes cerebrospinal fluid dynamics and estimates parameters of the cerebrospinal fluid system, the pressure-volume index (PVI) and the outflow conductance (Cout). The Oscillating Pressure Infusion (OPI) method was developed to improve the test and reduce the investigation time. The aim of this study was to evaluate the new OPI method by comparing it with an established reference method. Forty-seven patients (age 71.2 ± 8.9 years) with communicating hydrocephalus underwent a preoperative lumbar infusion investigation with two consecutive infusion protocols, reference (42 min) and new (20 min), that is, 94 infusion tests in total. The OPI method estimated Cout and PVI simultaneously. A real-time analysis of reliability was applied to investigate the possibility of infusion time reduction. The difference in Cout between the methods was 1.2 ± 1.8 μl/s/kPa (ΔRout = -0.8 ± 3.5 mmHg/ml/min), P < 0.05, n = 47. With the reliability analysis, the preset 20 min of active infusion could have been even further reduced for 19 patients to between 10 and 19 min. PVI was estimated to 16.1 ± 6.9 ml, n = 47. The novel Oscillating Pressure Infusion method produced real-time estimates of Cout including estimates of reliability that was in good agreement with the reference method and allows for a reduced and in idualized investigation time.
Publisher: IEEE
Date: 09-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2017
Publisher: IEEE
Date: 06-2018
Publisher: IEEE
Date: 12-2009
Publisher: IEEE
Date: 10-2007
Publisher: IEEE
Date: 12-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2022
Publisher: Elsevier BV
Date: 12-2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2018
Start Date: 03-2013
End Date: 03-2016
Amount: $337,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2019
End Date: 12-2022
Amount: $505,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 02-2015
End Date: 12-2020
Amount: $520,700.00
Funder: Australian Research Council
View Funded ActivityStart Date: 11-2022
End Date: 10-2027
Amount: $5,000,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 07-2023
End Date: 07-2026
Amount: $430,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 09-2023
End Date: 08-2024
Amount: $400,000.00
Funder: Australian Research Council
View Funded Activity