The main concern of this thesis work is the five-storey multifunction building. The house will consist of 22 residential units and one barrier-free apartment to which they belong cellar and two establishments. The building will have four above ground and one underground floor.

The subject of this thesis is the solution of a new building of nursery school in the part of city Brno – Tuřany. It is a cellarless, detached building and single-storey building. Nursery school will be two classes with 40 children. The floor plan is irregularly – shaped plan with orientation of the classes to the east. Building is designed from structural masonry system Porotherm with contact thermal insulation system. Roofing is solved with use of two different slopes of timber girder.

Architectural design is a complex subject involving many different aspects that need to be considered. Drafting a floor plan from a blank slate can require iterating over several designs in the early phases of planning, and it is likely an even more daunting task for non-architects to tackle. This thesis investigates the opportunities of using conditional generative adversarial networks to generate floor plans for living spaces. The pix2pixHD method is used to learn a mapping between building boundaries and color-mapped floor plan layouts from the RPLAN dataset consisting of over 80k images. Previous work has mainly focused on either preserving an input boundary or generating layouts based on a set of conditions. To give potential users more control over the generation process, it would be useful to generate floor plans that respect both an input boundary and some high-level client requirements. By encoding requirements about desired room types and their locations in colored centroids, and stacking this image with the boundary input, we are able to train a model to synthesize visually plausible floor plan images that adapt to the given conditions. This model is compared to another model trained on only the building boundary images that acts as a baseline. Results from visual inspection, image properties, and expert evaluation show that the model trained with centroid conditions generates samples with superior image quality to the baseline model. Feeding additional information to the networks is therefore not only a way to involve the user in the design process, but it also has positive effects on the model training. The results from this thesis demonstrate that floor plan generation with generative adversarial networks can respect different kinds of conditions simultaneously, and can be a source of inspiration for future work seeking to make computer-aided design a more collaborative process between users and models. / Arkitektur och design är komplexa områden som behöver ta hänsyn till ett flertal olika aspekter. Att skissera en planritning helt från början kan kräva flera iterationer av olika idéer i de tidiga stadierna av planering, och det är troligtvis en ännu mer utmanande uppgift för en icke-arkitekt att angripa. Detta examensarbete syftar till att undersöka möjligheterna till att använda conditional generative adversarial networks för att generera planritningar för boendeytor. Pix2pixHD-metoden används för att lära en modell ett samband mellan gränsen av en byggnad och en färgkodad planritning från datasamlingen RPLAN bestående av över 80 tusen bilder. Tidigare arbeten har främst fokuserat på att antingen bevara en given byggnadsgräns eller att generera layouts baserat på en mängd av villkor. För att ge potentiella slutanvändare mer kontroll över genereringsprocessen skulle det vara användbart att generera planritningar som respekterar både en given byggnadsgräns och några klientbehov på en hög nivå. Genom att koda krav relaterade till önskade rumstyper och deras placering som färgade centroider, och sedan kombinera denna bild med byggnadsgränsen, kan vi träna en modell som kan framställa visuellt rimliga bilder på planritningar som kan anpassa sig till de givna villkoren. Denna modell jämförs med en annan modell som tränas endast på byggnadsgränser och som kan agera som en baslinje. Resultat från inspektion av genererade bilder och deras egenskaper, samt expertevaluering visar att modellen som tränas med centroidvillkor genererar bilder med högre bildkvalitet jämfört med baslinjen. Att ge mer information till modellen kan därmed både involvera användaren mer i designprocessen och bidra till positiva effekter på träningen av modellen. Resultaten från detta examensarbete visar att generering av planritningar med generative adversarial networks kan respektera olika typer av villkor samtidigt, och kan vara en källa till inspiration för framtida arbete som syftar till att göra datorstödd design en mer kollaborativ process mellan användare och modeller.

We have investigated the feasibility of using digital tabletop displays during design team meetings to improve access to design information. To achieve this goal, we have applied various design guidelines for tabletop interface design and requirements for digital meeting scenarios in order to implement design ideas (in a prototype named Mozaic) that specifically cater to design team meetings. Mozaic intends to improve information retrieval and browsing activities during meetings thereby improving information access through a tile based layout, pop-up menu control and filtered list. We have evaluated the features of Mozaic through an exploratory study on a tabletop display (in comparison to a commonly used desktop software tool, which was also used on the tabletop) to evaluate various design ideas and ferret out design ideas for future iterations of Mozaic. We present the result of this study as observations and user feedback and discuss them in the light of interface development for design meeting situations.

Les travaux décrits dans cette thèse apportent une contribution au problème de la navigation autonome de robots mobiles dans un contexte de vision indoor. Il s’agit de chercher à concilier les avantages des différents paradigmes d’architecture de contrôle et des stratégies de navigation. Ainsi, nous proposons l’architecture RHIZOME (Robotic Hybrid Indoor-Zone Operational ModulE) : une architecture unique de contrôle robotique mettant en synergie ces différentes approches en s’appuyant sur un système neuronal. Les interactions du robot avec son environnement ainsi que les multiples connexions neuronales permettent à l’ensemble du système de s’adapter aux conditions de navigation. L’architecture RHIZOME proposée combine les avantages des approches comportementales (e.g. rapidité de réaction face à des problèmes imprévus dans un contexte d’environnement dynamique), et ceux des approches délibératives qui tirent profit d’une connaissance a priori de l’environnement. Cependant, cette connaissance est uniquement exploitée pour corroborer les informations perçues visuellement avec celles embarquées. Elle est représentée par une séquence de symboles artificiels de navigation guidant le robot vers sa destination finale. Cette séquence est présentée au robot soit sous la forme d’une liste de paramètres, soit sous la forme d’un plan. Dans ce dernier cas, le robot doit extraire lui-même la séquence de symboles à suivre grâce à une chaine de traitements d’images. Ainsi, afin de prendre la bonne décision lors de sa navigation, le robot traite l’ensemble de l’information perçue, la compare en temps réel avec l’information a priori apportée ou extraite, et réagit en conséquence. Lorsque certains symboles de navigation ne sont plus présents dans l’environnement de navigation, l’architecture RHIZOME construit de nouveaux lieux de référence à partir des panoramas extraits de ces lieux. Ainsi, le robot, lors de phases exploratoires, peut s’appuyer sur ces nouvelles informations pour atteindre sa destination finale, et surmonter des situations imprévues. Nous avons mis en place notre architecture sur le robot humanoïde NAO. Les résultats expérimentaux obtenus lors d’une navigation indoor, dans des scenarios à la fois déterministes et stochastiques, montrent la faisabilité et la robustesse de cette approche unifiée. / The work described in this dissertation is a contribution to the problem of autonomous indoor vision-based mobile robot navigation, which is still a vast ongoing research topic. It addresses it by trying to conciliate all differences found among the state-of-the-art control architecture paradigms and navigation strategies. Hence, the author proposes the RHIZOME architecture (Robotic Hybrid Indoor-Zone Operational ModulE) : a unique robotic control architecture capable of creating a synergy of different approaches by merging them into a neural system. The interactions of the robot with its environment and the multiple neural connections allow the whole system to adapt to navigation conditions. The RHIZOME architecture preserves all the advantages of behavior-based architectures such as rapid responses to unforeseen problems in dynamic environments while combining it with the a priori knowledge of the world used indeliberative architectures. However, this knowledge is used to only corroborate the dynamic visual perception information and embedded knowledge, instead of directly controlling the actions of the robot as most hybrid architectures do. The information is represented by a sequence of artificial navigation signs leading to the final destination that are expected to be found in the navigation path. Such sequence is provided to the robot either by means of a program command or by enabling it to extract itself the sequence from a floor plan. This latter implies the execution of a floor plan analysis process. Consequently, in order to take the right decision during navigation, the robot processes both set of information, compares them in real time and reacts accordingly. When navigation signs are not present in the navigation environment as expected, the RHIZOME architecture builds new reference places from landmark constellations, which are extracted from these places and learns them. Thus, during navigation, the robot can use this new information to achieve its final destination by overcoming unforeseen situations.The overall architecture has been implemented on the NAO humanoid robot. Real-time experimental results during indoor navigation under both, deterministic and stochastic scenarios show the feasibility and robustness of the proposed unified approach.

The project deals with structure design of a new – built sports centre with the capacity up to 120 persons. It is situated in the sports grounds of Zákamenné in a flat terrain lot with area of 21 811 m2. The building wasn´t designed for disabled people, it is designed with partial basement, it has got two floors with irregular shape and the floor area of 752,44 m2. On the first floor the building is split into two sections - northern, which is the sports part and southern. which is the facilities part (café, entrance to flat,...). On the second floor there is a caretaker´s flat in the southern part, northern part serves mainly for administration purposes. The northern part also offers access to a non-public terrace. Basement is situated under southern part and serves technical facilities of the buildiung. The support structure system consists of concrete strips foundations, supporting wall system built with Ytong aerated concrete blocks, the ceiling system is made of reinforced concrete floor, which also supports construction of a warm flat roof.

The purpose of the new building is the construction of sports and relaxation center in Jihlava in the Vysocina. The building will serve as a sports and leisure center also contains the 1st floor squash courts, relaxation area with jacuzzi, sauna and massage. In the 2nd floor will be located with aerobic fitness, office manager, a children's playground and a bar with seating. The building consists of two floors and a basement. External walls are lined with masonry elements of Heluz Family tl. 300 mm 3 square inches with excellent thermal insulation properties, the internal load-bearing walls of thick STI Heluz system. 300mm. The building can escape three unprotected pathways into the open towards the northwest and south. The building is situated in a slightly sloping terrain. From the main road to get to the building access road to the 1st floor. The overall height of the first floor is 4.00 m, the second floor is 4m and also underground floor is 3.40 m The building consists of three wings in the longitudinal structural system. The building has three floors: a basement and two floors. The roof is flat, single-layer, above the squash courts is inclined with an inclination of 6 degrees. The ground plan is mass divided into 3 wings on 1st floor with main entrance and staircase connecting all the floors in the middle of disposition. Ground object is longitudinally divided into differently sized parts of the corridor, which on each side of the staircase joining the center of the building. Check the plot is solved its own parking with direct entrance from the road.

The subject of this work is the solution of a new building of nursery school in the village of Ivanovice. It is a cellarless, two-storey building for 40 childern. The floor plan is „L“ shaped with orientation of the classes to the south and west which provide enough rate (amount) of insolation which support good mood and development of the childern. The object is situated in medium sloping land mainly in the area of familly and residential houses. The main entrance to the building is situated on the south from where si access road to the object too. Comfort parking is provided by ten parking places, one is determined for disabled people. The lighting and ventilation of all rooms is provided by windows. Roofing is solved using of wooden truss in combination with single casing roof.

The main concern of this thesis is to design a five-storey multifunctional house. The house is divided into the main living area to which it belongs especially residential units accessible by stairs from the ground floor and also basement boxes and room for prams. On the ground floor are also located the individual garage, store room and technology. The house has four floors and a basement, the basement are located mass garages. The house has a sloping wooden roof trusses.

The diploma thesis is focused on a reconstruction of a cinema building in the town Gbely. It’s complete reconstruction of exterior and interior too. Original function, cinema, is change to sport and cultural centrum now. Object is consist of cafe, squash hall, climbing wall and sauna with rest room. Several thermal insulations are used to isolate object and satisfy a norm terms. The foundations are post insulated too. The interior is divided into functional spaces with Heluz system. New finishes in the object is created by brick paving, klinker, ceramic tiles and tiling. All windows and doors are replaced by new ones in the object. Sliding doors are used in interior for save space. The windows and doors are plastic between interior and exterior. All sanitations are replaced by new ones too. The reinforced concrete floor is used instead of lead bearing lintels. The wheelchair conditions are satisfied on ground floor.