ML
M. Liefaard
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2 records found
1
Bachelor thesis
(2019)
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Maxim Liefaard, Raoul Bruens, Dana van Hassel, Sterre Noorthoek, Thomas Abeel, Maneesh Verma, Chris Verhoeven, Otto Visser, Huijuan Wang
With the steady increase in space missions, enabled through technological advances and increase of commercialisation within the space flight industry, both more and increasingly complex missions can be designed for space. To this end, the Lunar Zebro project competes within this field through its small lunar rover design, drastically decreasing deployment costs and risk of the mission. The road map of Lunar Zebro aims to have a multitude of rovers deployed on the Moon, being able to complete several tasks like exploring, observing, and mapping. Since this concept of rover cooperation adds a novel level of complexity to the mission, a feasibility study is required to look into the difficulties of navigating the Moon with a larger group of rovers. LunarSim is the software package developed during this project. LunarSim aims to facilitate a simulation environment in which Lunar Zebro rovers and space mission designs can be tested and validated. To legitimise the workings of the simulation, a few scenarios have been developed to test the core functionalities of the software product. These scenarios are based on phases in a practical mission plan that consists out of navigating to and observing a crater location. The scenarios is evaluated through examination of a set of defined fitness criteria. In this report, the reader will find documentation on the development process of LunarSim: the simulation in Unity, the ROS back-end, and the bridge between these two systems. Additionally, the report elaborates how the developed software was used to aid in the feasibility study of LUFAR. First, initial research and requirements are formulated to define the scope of the simulation, after which the software architecture is introduced. Then, the systems implemented for the simulation are explained. Subsequently, the implemented rover behaviour algorithm that was used for testing is explained, with additional resources on how to develop a new custom rover behaviour. After this, an evaluation is given of the simulation based on the initial requirements and research with future research and concluding remarks. At the end of the report, the technical specifications in terms of software architecture, simulation environment, and rover behaviour are defined to give an in-depth view of LunarSim.
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With the steady increase in space missions, enabled through technological advances and increase of commercialisation within the space flight industry, both more and increasingly complex missions can be designed for space. To this end, the Lunar Zebro project competes within this field through its small lunar rover design, drastically decreasing deployment costs and risk of the mission. The road map of Lunar Zebro aims to have a multitude of rovers deployed on the Moon, being able to complete several tasks like exploring, observing, and mapping. Since this concept of rover cooperation adds a novel level of complexity to the mission, a feasibility study is required to look into the difficulties of navigating the Moon with a larger group of rovers. LunarSim is the software package developed during this project. LunarSim aims to facilitate a simulation environment in which Lunar Zebro rovers and space mission designs can be tested and validated. To legitimise the workings of the simulation, a few scenarios have been developed to test the core functionalities of the software product. These scenarios are based on phases in a practical mission plan that consists out of navigating to and observing a crater location. The scenarios is evaluated through examination of a set of defined fitness criteria. In this report, the reader will find documentation on the development process of LunarSim: the simulation in Unity, the ROS back-end, and the bridge between these two systems. Additionally, the report elaborates how the developed software was used to aid in the feasibility study of LUFAR. First, initial research and requirements are formulated to define the scope of the simulation, after which the software architecture is introduced. Then, the systems implemented for the simulation are explained. Subsequently, the implemented rover behaviour algorithm that was used for testing is explained, with additional resources on how to develop a new custom rover behaviour. After this, an evaluation is given of the simulation based on the initial requirements and research with future research and concluding remarks. At the end of the report, the technical specifications in terms of software architecture, simulation environment, and rover behaviour are defined to give an in-depth view of LunarSim.
IMOVE
A Motion Tracking and Projection Framework for Social Interaction Applications
Journal article
(2019)
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Marie Kegeleers, Raoul Bruens, Maxim Liefaard, Nestor Z. Salamon, Rafael Bidarra
In public places such as malls, train stations, and airports, there is a constant flow of people either waiting or commuting. Even though people at these locations are surrounded by many other individuals, mostly there is little social interaction, which generally creates a gloomy atmosphere. Any applications promoting social interactions are a welcome addition. We present IMOVE, an interactive framework aimed at facilitating the development of such applications. It offers a combination of motion tracking and projection methods which makes it easier to create interactive experiences and games, tailored to motivate people to move around, explore, and, most importantly, interact with each other in a fun way. People moving around trigger events and effects, interacting with the applications using their body movements or even collaboratively working towards an outcome. IMOVE was validated by means of a variety of applications in a real scenario, the entrance hall of a busy public building: the classic Pong game, a collaborative and accessible casual game (Save the Turtles!), and a procedural visual art generator based on game mechanics (Light Trails). All applications have been successfully running for the past year. The IMOVE framework is freely available online and it has been shown to be particularly suited and accessible to novice game and interactive application developers for large public spaces.
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In public places such as malls, train stations, and airports, there is a constant flow of people either waiting or commuting. Even though people at these locations are surrounded by many other individuals, mostly there is little social interaction, which generally creates a gloomy atmosphere. Any applications promoting social interactions are a welcome addition. We present IMOVE, an interactive framework aimed at facilitating the development of such applications. It offers a combination of motion tracking and projection methods which makes it easier to create interactive experiences and games, tailored to motivate people to move around, explore, and, most importantly, interact with each other in a fun way. People moving around trigger events and effects, interacting with the applications using their body movements or even collaboratively working towards an outcome. IMOVE was validated by means of a variety of applications in a real scenario, the entrance hall of a busy public building: the classic Pong game, a collaborative and accessible casual game (Save the Turtles!), and a procedural visual art generator based on game mechanics (Light Trails). All applications have been successfully running for the past year. The IMOVE framework is freely available online and it has been shown to be particularly suited and accessible to novice game and interactive application developers for large public spaces.