In this paper we introduce the core results of the project on visualisation and analysis of data collected from the vertical transport facilities. The aim of the project was to provide better user experience as well as to help building maintenance staff to increase productivity of their work. We elaborated a web-based system for vertical transportation, to cover the needs of (1) staff working on building maintenance, (2) people who are regularly using the facilities in the corresponding buildings.
This paper presents how collaborative industrial project are embedded into engineering curriculum at two departments: School of Science and the School of Engineering, at RMIT University, Australia. We introduce general structure of the industrial projects as Work Integrated Learning (WIL) modules, as well as provide a number of examples of recently completed projects. Industrial summer projects, which were running in the years 2015 16 in collaboration with ANZ, ABB, Alfred Hospital, etc., were pipelined with final year projects from the School of Engineering as well as with the Software Engineering Projects (Bachelor and Master level) from the School of Science. The goal of these projects was to enable continuity of activities as per industry requirements and enhance learning experience, as well as, employability of the students. All the projects were successfully completed, also receiving positive feedback from industry partners. Some of the projects led to student's employment within the companies that have sponsored the projects. With this approach, Future Designers Grant from the Department of State Development, Business and Innovation, Victoria, was efficiently implemented and a new product developed. After receiving Bosch Venture Forum Award in Germany, in June 2015 industry collaboration has extended to new partner, School of Science and activities continued over the summer. New design is implanted as well as large number of improvements. This paper presents an approach towards intelligent route planning in public transport systems. The approach focuses on formal modelling of the semi-dynamic intelligent route planning and optimisation. For these purposes, it is essential to have a well developed formal model covering real-time and space aspects. The proposed solution allows designers to extend a public transport system with additional routes, which are created dynamically based on the requests from passengers. The model can be applied within a sustainable Smart City both for (fully or partially) autonomous transport systems and for the decision support systems of a smart transport system. Abstract This paper presents an approach for modelling and implementation of autonomous humanoid system’s behaviour. The main objective of our project was to analyse possible interaction scenarios between humans and autonomous robots, and to elaborate a framework for providing flexible guided tour options, utilising the features of humanoid PAL REEM robot. The framework can be used to support guided tours through exhibitions, museums, art centres, innovative labs, etc. We introduce the core results of the project and briefly discuss our future work. There are many scenarios where humans interactively conduct some joint activities. Using our approach, presented here, one of the parties could be replaced by humanoid robots. State of the art technology in voice recognition and generation, as well as path planning were used to achieve requested research objectives. This paper presents an approach for an intelligent speed validation and adaptation. The approach focuses on formal modelling of the corresponding smart vehicle units, to increase the road safety as well as to allow formal analysis of the smart vehicle behaviour. We suggest a number of models for speed check limitation units, which reflect differences in the speed limits in several countries.We also present our results from the case studies, based on two implementations of the model as an iOS and an Android app for Intelligent Speed Adaptation. This paper presents how research on autonomous systems is embedded into the curriculum at two departments at the RMIT University, Australia: the School of Engineering and the School of Science. We introduce general structure of our Work Integrated Learning (WIL) modules and the recently completed projects having as a core component research and development of autonomous systems.