Prerequisite skills: Completion of ELEC4403 Digital and Embedded Sys. or CITS2200 Data Structures with 75+. Good programming skills in C, C++ or Python. Topic brief description: We are using advanced mobile robots: driving robots similar to the ones you know from "Embedded Systems" as well as underwater robots and autonomous boats for building practical intelligent applications systems. 2018 Goals: Completion of autonomous boat that should sail around Rottnest • Autonomous navigation and path planning for driving robots • Visual Navigation • Trial Swarms (in real and in VR) • SLAM (Simultaneous Localization and Mapping) • Integration of robots and EyeSim-VR simulator on Oculus Rift and HTC Vive • Further Details: Cardell-Oliver, Rachel, A/Prof Co-supervisors: Keating, Adrian, A/Prof Energy Neutral Sensor Networks Disciplines: Electrical & Electronic, Mechatronic and Software Prerequisite skills: Applicants will require skills in one or more of the following embedded programming skills (Raspberry-Pi, Arduino); electronics (bread boarding, controlling actuators, energy efficiency); machine learning algs; data analysis (data collection, analysis and visualisation of experiments) Topic brief description: This project is intended for a multidisciplinary team of up to 4 students. Applicants will require skills in one or more of the following areas: embedded programming skills (Raspberry-Pi, Arduino); electronics (bread boarding, controlling actuators, energy efficiency); machine learning algs; data analysis (data collection, analysis and visualisation of experiments) This project involves the development and testing of new hardware and software towards zero-energy, wireless sensing systems. Internet-of-things (IoT) technologies promise a new, lower cost and more flexible solution for asset monitoring in which self-powered, sensors wirelessly communicate. However, to realise this promise, the energy use of each sensor needs to be shrunk by an order of magnitude over current systems. This project will investigate four steps towards zero-energy sensing: 1) experimental investigation of Lora (long-range) low power radio for communication; 2) development of general-purpose data-aware lossless compression algorithms to minimise the amount of sensor data that must be transmitted; and 3) design of energy harvesting systems for sensor nodes. Recommended
Prerequisite skills: Completion of ELEC4403 Digital and Embedded Sys. or CITS2200 Data Structures with 75+. Good programming skills in C, C++ or Python. Topic brief description: We are using advanced mobile robots: driving robots similar to the ones you know from "Embedded Systems" as well as underwater robots and autonomous boats for building practical intelligent applications systems. 2018 Goals: • Completion of autonomous boat that should sail around Rottnest • Autonomous navigation and path planning for driving robots • Visual Navigation • Swarms (in real and in VR) • SLAM (Simultaneous Localization and Mapping) • Integration of robots and EyeSim-VR simulator on Oculus Rift and HTC Vive Further Details: Cardell-Oliver, Rachel, A/Prof Co-supervisors: Keating, Adrian, A/Prof Energy Neutral Sensor Networks Disciplines: Electrical & Electronic, Mechatronic and Software Prerequisite skills: Applicants will require skills in one or more of the following embedded programming skills (Raspberry-Pi, Arduino); electronics (bread boarding, controlling actuators, energy efficiency); machine learning algs; data analysis (data collection, analysis and visualisation of experiments) Topic brief description: This project is intended for a multidisciplinary team of up to 4 students. Applicants will require skills in one or more of the following areas: embedded programming skills (Raspberry-Pi, Arduino); electronics (bread boarding, controlling actuators, energy efficiency); machine learning algs; data analysis (data collection, analysis and visualisation of experiments) This project involves the development and testing of new hardware and software towards zero-energy, wireless sensing systems. Internet-of-things (IoT) technologies promise a new, lower cost and more flexible solution for asset monitoring in which self-powered, sensors wirelessly communicate. However, to realise this promise, the energy use of each sensor needs to be shrunk by an order of magnitude over current systems. This project will investigate four steps towards zero-energy sensing: 1) experimental investigation of Lora (long-range) low power radio for communication; 2) development of general-purpose data-aware lossless compression algorithms to minimise the amount of sensor data that must be transmitted; and 3) design of energy harvesting systems for sensor nodes. Recommended Trial
Eng-Res-proj-desc-Doc-S1-2018e.docx