Centre for Intelligent Systems Research

CISR Final Year Student Projects 2014


The Centre for Intelligent Systems Research is continuously looking for enthusiastic final year students interested in the area of intelligent systems.

CISR offers projects in line with current commercial and strategic research objectives, consistently resulting in award-winning projects. Our team is ready to work with you to define a suitable 4th-year research project. CISR staff have many years of experience supervising students, most of our researchers having graduated from the Deakin Engineering bachelor program.

CISR currently has student project opportunities in robotics and motion simulation, image processing, manufacturing, modelling and simulation, scheduling, human performance and haptics. To ensure students get consistently great supervision, CISR strictly limits the number of final year engineering students accepted each year. To avoid disappointment, please ensure you arrange a meeting time as soon as you can.

For all final year project enquiries, please contact Dr Mick Fielding by phone (+61 3 5227 2807) or email (mick.fielding@deakin.edu.au). Please 'CC' Dr Kyle Nelson in all correspondence (kyle.nelson@deakin.edu.au).

In your correspondence, please include:

  • the project(s) you are interested in
  • your degree and major (e.g. Mechatronics & Robotics, Medical Technology, Sports Technology, etc.)
  • any specific technical or administrative skills that you would like to develop (project management, CAD, simulation, scientific testing methods, report writing, etc.)
  • details of areas you enjoy and excel at
  • feel free to include images or reports from past projects

2014 Final Year Projects

Please click on the Expand icon beside each position title to see a short description of the reseach project.

All projects available T1- T3 unless otherwise stated

Robotics and Motion Simulation

 FYP14001 - Automomy for a mobile platform

CISR have a number of tele operated mobile platforms. Student will be tasked with identifying and adding, or using existing sensors to allow mobile platform to avoid obstacles when being tele-operated or even operate in a fully autonomous mode.

 FYP14002 - A modular multi-purpose land-air vehicle robot

Develop a multi-purpose vehicle that can fly and drive. Project would begin with identifying and sourcing suitable components and then testing to ensure they will meet the required specifications. If the student makes quick progress it is hoped the proposed design could be assembled and tested

 FYP14003 - Wirelessly link small UAV to CISR's Universal Motion Simulator

Deakin University's Haptically Enabled Universal Motion Simulator, located within the CISR labs, allows a pilot to train to fly. The simulator has 6 DoF and force-feedback control interfaces. Rather than using a simulation package to generate the graphics and motions, we would like to feed real-time data from a RC plane or multi-rotor. The person would physically sit in the UMS, but they would be controlling and getting live video from the UAV. It would require real-time streaming of video and telemetry data from the vehicle, as well as on-ground processing of this data to a format suitable for the UMS.

 FYP14004 - Design and Evaluation of Enclosed Cabin for CISR's Universal Motion Simulator

This project will focus on the mechanical design of a lightweight cabin structure to be attached to CISR's Universal Motion Simulator. The design will also be evaluated to ensure that it can withstand the forces experienced during simulator motion.

 FYP14005 - Develop Interface between Vehicle Simulation Environment and CISR's Universal Motion Simulator

This project will involve extracting motion data from one or more vehicle simulation environments (e.g. boat, train, spacecraft, motorbike, truck, car, plane, helicopter, etc.), performing any data transformation required and communicating this data to the Universal Motion Simulator to control its motion.

 FYP14006 - Investigation and Configuration of CISR's Universal Motion Simulator for Agricultural Pilot Training

This first phase of this project will involve an investigation of the unique difficulties of being an agricultural pilot and the requirements of agricultural pilot training. The second phase of the project will then focus on configuring CISR's UMS to train agricultural pilots. This may include optimising cockpit instrumentation, the pilot's field of view or creating high resolution low altitude graphics which accurately represent the obstacles that pilots encounter, such as tree and power lines.

 FYP14007 - Design and Development of Haptic Devices for CISR's Universal Motion Simulator

This project involves the creation of haptic vehicle controls or other haptic devices which may be utilised with CISR's Universal Motion Simulator. The student will need to design and manufacture one or more haptics devices such as a steering wheel, pedals, levers or steering bar.

 FYP14008 - Instrumentation and Configuration of a Helicopter Simulator

This project involves the installation of instruments and control devices in an actual Robinson R22 helicopter for use as a simulator. In addition to the physical installation and wiring of gauges and dials, the instruments must also be configured to interact with flight simulation software.

 FYP14009 - Image Processing for Autonomous Detection and Classification of Marine Life

This project will apply image processing techniques to underwater video in an effort to detect, classify and estimate the population size of one or more reef species, potentially including coral, sponges, seagrass, seaweed, molluscs or fish.

 FYP14010 - Develop CFD drag model of an underwater robot and develop optimised geometry to minimise drag and improve stability

CISR has been building robots that fly, drive and float. We are now working on systems that swim and would like you to be a part of the development process. You will be required to design and test external geometry that could be evaluated using a suitable computer software package. Parameters would be include drag, stability, controllability and more.

 FYP14011 - Design & build rig to study the effects of cyclic loading on various materials, including synthetic ropes and cables

CISR uses a number of specialised materials in the fabrication of its robots and systems. We wish to understand a little more about how they perform after weeks, months or years of typically use. Student will be required to design and build a suitable test rig that consists of an actuator to provide load, a force measurement device as a feedback mechanism and a method for measuring elongation. System could be driven from a computer a standalone micro controller, or combination of the two. Preliminary designs available.

 FYP14012 - Design and development of PLC control system and computer interface for blood test

This blood measurement system is controlled with a Mitsubishi PLC. The system requires troubleshooting and re cabling. New control system and HMI are required to be developed in this project.

 FYP14013 - Setup, configuration, and programming of Power Cube robotic arm

Power cube is a modular and reconfigurable robotic arm, that works over CAN bus. CISR owns one of these robots and the student is required to setup , configure, troubleshoot and program this robot. A new computer, can bus driver and communication need to be set up and forward and a demonstration for the robots needs to be developed. The candidate will learn about sensors, actuators, PLC programming, industrial data communication, HMI design and bio medical equipment.

 FYP14014 - Controller design and test for a high load positioning system

This is a 1 DoF positioner system that could position heavy loads up to 50kg. The student is required to identify a proper motor drive, install, and set up a hardware to control this system. Then a software is required to be developed for to be enable the user to control the position of the table. The candidate will learn about sensors, motor control, industrial data communication, HMI design, and control theory.

 FYP14015 - Design and prototype of a body weight support system to help with walking disorders in neuro-physical and stroke patients

A body weight support system is required to be designed in Solidworks and analysed. A model of the body weight support will be prototyped.

 FYP14016 - Adding a vision based safety system for a gantry robot

The aim is to use a visual processing system to identify if the working of a robotic arm can cause any human injury. The result will be used to control a robot.

 FYP14017 - Design and building of a vibration based energy harvesting system

Designing a flexible vibrating surface with printed magnet points, the movement of the magnets will generate electricity in couple of coils around this surface.


Haptics

 FYP14018 - Cutting and stitching on deformable models in medical simulation

This project focuses on how to interpret user-input force into cutting and stitching operations on deformable models. There exist a number of factors to realistically represent a cutting/stitching and such factors will be identified, quantified and dynamically simulated with reference to the properties of the deformable models.

 FYP14019 - Analysis and optimization of collision detection and collision response

This project focuses on one of the basic procedures in computer graphics, haptics as well as robotics - collision detection. This issue is crucial for medical and military simulations and usually difficult to evaluate in real-life applications. A fundamental study and broad literature is necessary to deeply understand the problem, and optimized solutions for certain situations will be devised.

 FYP14020 - Function-based visuo-haptic interactive modelling in networked environments

This project focuses on the representation of visuo-haptic modelling. Typical polygonal-based representation has a number of limitations, which are hard to overcome. Using mathematical functions, i.e. explicit, implicit and parametric functions, provides an alternative solution for graphical and haptic rendering. The construction, optimization, as well as the analysis of advantage and limitation of such representation will be studied.


Process Modelling and Analysis

 FYP14021 - Medical data analysis using soft computing techniques

Healthcare plays an important role in promoting the general health and well-being of people around the world. The main focus of the project is to employ one or more soft computing techniques, i.e. neural networks, fuzzy intelligent systems, or evolutionary algorithms to medical/healthcare data classification. High accuracy and inexpensive computational costs are two main goals in designing the soft computing techniques.

 FYP14022 - Protein structure prediction by computational intelligent systems

This project focuses on the application of an integration between neural networks and fuzzy systems for predicting 3D protein shapes from amino acid sequences. The knowledge of the 3D structure of a protein enables pharmacologists to select the best binding proteins to moderate their functions, which are important in both protein analysis and drug design. The approach is expected to learn the representations of the protein 3D shape directly from its amino acid sequence descriptors.

 FYP14023 - Recurrent fuzzy systems for engineering applications

Machine learning techniques in general or fuzzy intelligent systems in particular are universal function approximators and they have been applied widely in engineering problems, especially in time series forecasting. The challenges arise as more uncertainty in the data has been recognized. This project focuses on the design of recurrent fuzzy intelligent systems that are highly capable of handling uncertainty and causal effects in engineering time series forecasting.

 FYP14024 - Evolving neural networks applied to bioinformatics problems

Neural networks emerged to be a powerful tool that can be applied in various bioinformatics problems, e.g. protein secondary structure prediction, gene structure prediction, gene expression data analysis. This project extends the capability and robustness of neural networks by integrating them with evolutionary algorithms, e.g. genetic algorithm. The combination of two techniques helps to initiate a more powerful tool to solve bioinformatics problems.

 FYP14025 - Applications of intelligent systems in geoinformatics and remote sensing

Remote sensing images are an important data source for designing Geographic Information Systems (GIS) applied in natural resource management, land use planning, cultural preservation, forestry coverage detection, watershed management, transportation engineering. This project focuses on the classification of remote sensing images using intelligent systems. High accuracy and inexpensive computational cost are two main goals of the designed intelligent systems.

 FYP14026 - Manufacturing process improvement

The project is to further develop a software program that collects manufacturing quality data at the shop floor level. Data is entered by operators and presented in a series of simple charts that enable the shop floor to identify process improvement opportunities. Further functionality would include statistical process control tools including various type of control charts and an analysis engine to perform comprehensive statistical analyses.

Deakin University acknowledges the traditional land owners of present campus sites.

27th March 2014