UAV (Unmanned Aerial Vehicle) eller drönare används för insamling av geografisk data och fotografering av såväl företag, myndigheter och privatpersoner. Tekniken förenklar insamling av data över stora geografiska områden och kan utnyttjas för kartering, modellering och analysering som volymbestämning. Studien genomfördes med syftet att detektera trädhöjder ur punktmoln genererade med laserskanning och digital fotogrammetri från luften. Vidare undersöktes det vilken metod som gav det mest tillförlitliga resultatet samt om teknikerna var applicerbara för detektering av riskträd. Riskträd innebär i denna studie träd som utgör ett potentiellt hot mot viktig infrastruktur som till exempel kraftledningar. Numera sker datainsamlingen primärt via helikopter för identifiering av sådana träd. Genom att använda olika drönartekniker för datainsamlingen kan kostnaderna reduceras. Insamlingen av data genomfördes över ett glest barrskogsområde i Rörberg strax utanför Gävle. Laserdata samlades in med en LiDAR (Light Detection and Ranging)-sensor från YellowScan monterad på en Geodrone X4L Professional-drönare och de fotogrammetriska data med en drönare av typen DJI Phantom 4 RTK (Real Time Kinematic) med standardkamera. För bägge insamlingarna georefererades insamlade data direkt genom enkelstations-RTK för laserskanningen och med SWEPOS Nätverks-RTK för den fotogrammetriska flygningen. För att kontrollera kvaliteten av insamlade data mättes sex stycken kontrollprofiler in med totalstation i skogspartiet. Dessa jämfördes sedan mot de skapade punktmolnen. Medelavvikelsen och standardavvikelsen mellan LiDAR och kontrollprofilerna fastställdes till -0,038 m och 0,049 m. För fotogrammetrin och kontrollprofilerna bestämdes medelavvikelsen till +0,060 m och standardavvikelsen 0,090 m. Dessa värden jämfördes sedan mot kraven i SIS-TS 21144:2016. För att bestämma absoluta höjder mättes tio stycken träd in med totalstation. Trädens högsta och lägsta punkter koordinatbestämdes och utifrån subtraktion erhölls absoluta värden för vilka höjder från LiDAR- och fotogrammetriskt framställda trädhöjdsmodeller kom att jämföras mot. Jämförelsen mellan metoderna visade en medelavvikelse på -0,325 m för LiDAR och -0,928 m för fotogrammetrin. Slutsatsen av denna studie visar att LiDAR är den mest lämpade tekniken för detektering av trädhöjder och skapande av trädhöjdsmodeller. Detta baseras på erhållna höjdvärden, den digitala terrängmodellens kvalitet och den goda täckningen av punkter i plan och höjd för punktmolnet. / UAVs (Unmanned Aerial Vehicles) or drones are commonly used for collecting spatial data and aerial images by companies, state agencies and civilians. The UAV techniques makes collection of geodata easier for large areas and can be used for mapping, 3D modelling and other analyses, e.g. for volume determination. The aim of this study was to compare 3D point clouds generated from airborne laser scanning and digital photogrammetry for detecting heights of trees. It was also investigated which method produced the most reliable results and if these were applicable for detecting risk trees. The definition of risk trees in this study are trees that run the potential risk of damaging important infrastructure such as electric power transmission lines. Nowadays the collection of data is mainly conducted using helicopters for identifying the risk trees, but with UAV technologies costs can be significantly reduced. The collection of data was performed over a sparse coniferous forest area in Gävle, Sweden. Laser data was collected using a YellowScan LiDAR (Light Detection and Ranging) sensor mounted on a drone. For the photogrammetric data, a DJI Phantom 4 RTK (Real Time Kinematic) drone was used with its standard camera. Both techniques were directly georeferenced using Single station RTK and SWEPOS Network RTK respectively. To check the quality of the collected data, six control profiles were established using a total station. These measurements were then compared to the generated point clouds. Our results show that the mean deviation and standard deviation in height between LiDAR point clouds and the control profiles are -0,038 m and 0,049 m, respectively. The mean deviation and standard deviation for photogrammetric point clouds and control profiles are +0,060 m and 0.090 m, respectively. These values were then compared to the requirements in SIS-TS 21144:2016. To determine absolute tree heights, ten random trees were measured using a total station. The coordinates of the highest and lowest points of each tree were then subtracted to serve as absolute height values. The comparison of the two UAV methods showed mean height deviations of   -0,325 m for LiDAR and -0,928 m for the photogrammetry. This study concludes that LiDAR is the most suitable technology of the two methods tested for detecting tree heights and creating canopy height models. This is based on the obtained height values, the quality of the digital terrain model and the good distribution of points in plane and height for the point cloud.

Die erreichte Zerkleinerung und die Form des Haufwerks sind die beiden wichtigsten Ergebnisse einer Tagebausprengung. Schnelle Informationen über die Eigenschaften des gesprengten Haufwerks ermöglichen eine zielgerichtete und effiziente Produktionsplanung und Kenntnisse über die erreichte Zerkleinerung ermöglichen außerdem Anpassungen in der weiteren Zerkleinerungskette. Durch den Einsatz von UAVs (unmanned aerial vehicles) gemeinsam mit modernen Algorithmen aus dem Bereich Computer Vision und des maschinellen Lernens soll eine schnelle Erfassung und Interpretation der Daten bei gleichzeitiger Integration in die herkömmlichen betrieblichen Abläufe ermöglicht werden, und außerdem können Schwächen bodengebundener Systeme hinsichtlich Vollständigkeit und Repräsentativität umgangen werden. Im vorliegenden Beitrag wird einerseits auf den relevanten Stand des Wissens und der Technik eingegangen und andererseits wird die verfolgte Stoßrichtung bei der Systementwicklung dargelegt sowie erste Arbeiten präsentiert. / The fragmentation and the shape of the muck pile are the two major outcomes of open pit mine and quarry blasts. Fast information about the muck pile properties will help to improve the production scheduling and furthermore this information could be used to optimize the blasting patterns of future production blasts. The combined use of unmanned aerial vehicles (UAVs) and modern machine learning and computer vision systems offers a new way of acquiring spatial data to determine on-site fragment size distribution, while at the same time enabling integration into common work flows and mitigating the weaknesses of ground-based systems with special regard to completeness and representativeness. In the present paper, we will discuss the relevant related work, present the planned path for system development and give examples of first work.

Flooding is a worldwide problem that every year causes substantial damage for the environment and stakeholders nearby, and this impact relates to several of the United Nations Sustainable Development Goals. Colombia is specially prone to flooding as 17% of its surface area is at risk of extreme flooding. In addition, there is something called a POT (plan de ordenamiento territorial) for every municipality in Colombia, which states how the territory should be managed. For this project the rivers were of particular interest, and the POT states that no temporary or permanent constructions are allowed within 30 meters on either side of a river. The purpose of this report was to investigate and analyze the possibilities of using UAV (unmanned aerial vehicle) -based photogrammetry and UAV-based LiDAR (light detection and ranging) technology to gather sufficient data for a model that could simulate different flooding scenarios in the examined area. Data from the UAV-based photogrammetry resulted in a complete visual overview of the examined area. The data gathered from the UAV-based light detection and ranging resulted in an accurate point cloud that could be processed into a DTM (digital terrain model) where three different flooding scenarios were simulated. The simulations and the visual model showed that majority of people in theexamined area were disobeying the POT and the 30 meter rule, therefore being in risk of flooding and impacting the natural diversity of the body of water. The simulation also showed that stakeholders close to the body of water were affected for each of the three different water level scenarios. In some cases, it was only vegetation and crops that got affected by the flooding scenario, while in other cases entire structures and buildings were damaged due to the increase of water level. To complement the flooding scenarios, interviews were conducted with people that have good knowledge of the area and of ecology, resulting in a stakeholder analysis. This provided an additional depth to the analysis and showed the complexity in the management of flooding in the area.

Cette thèse a pour but de découvrir la faisabilité et le potentiel de la récupération d'énergie à partir de rafales atmosphériques pour les micro et mini véhicules aériens sans pilote. L'atmosphère sert de grande source d'énergie pouvant être récoltée afin d'accroître la performance des petits UAV sous la forme d'une autonomie et d'une autonomie étendues. Il est bien connu que de nombreuses espèces d'oiseaux utilisent diverses techniques de vol pour obtenir des performances de vol étonnantes. Compte tenu du fait que les véhicules susmentionnés partagent la taille et la vitesse de vol avec des dépliants naturels, cette thèse peut être considérée comme une application des techniques de vol bio-inspirées pour les véhicules construits par l’homme. Cette étude de trois ans visait à établir une dérivation théorique des équations qui décrivent la dynamique de vol d'un aéronef en présence d'un environnement en rafales. La première réalisation a été la démonstration du mécanisme de récupération d'énergie et des paramètres d'influence à travers des simulations décrivant le vol en modèle de masse ponctuelle d'aéronef avec un contrôle optimisé de l'ascenseur en présence d'un profil de vent sinusoïdal et stochastique. La réalisation suivante est liée à un système sensoriel inspiré par la biologie qui utilise des mesures de pression des ailes pour estimer l’angle d’attaque local. Ce système particulier a été utilisé dans l’estimation du champ de vent, en tant que mécanisme décisif et protection contre le décrochage. Enfin, les dernières contributions sont liées à l’expérience et aux résultats obtenus lors d’essais en vol visant à prouver l’augmentation de l’état énergétique de l’avion lors des manœuvres de récupération d’énergie. La première campagne d'essais en vol a été réalisée avec un mini-UAV disponible dans le commerce équipé de sondes à trous multiples et d'un contrôleur conçu sur mesure. Cette campagne a démontré l’augmentation de l’état d’énergie dans un fort gradient de vent horizontal. La deuxième campagne d'essais en vol a été réalisée avec une aile volante équipée d'un système de détection de pression pour l'estimation du champ de vent. Cette campagne a également impliqué des économies supplémentaires sur la consommation d'énergie électrique lors des vols de récupération d'énergie. / This thesis aims at discovering the feasibility and potential of energy-harvesting from atmospheric gusts for micro and mini unmanned aerial vehicles. The atmosphere serves as a great source of energy that can be harvested in order to increase performance of small UAVs in form of extended endurance and range. It is well known that many bird species use various flight techniques for achieving astonishing flight performances. Considering the fact that aforementioned vehicles share size and flight speed with natural flyers, this thesis can be considered as an application of bioinspired flight techniques for man made vehicles. This three-year study set out to establish a theoretical derivation of equations that describe flight dynamics of an aircraft in presence of gusty environment. The first achievement was demonstration of energy harvesting mechanism and influencing parameters through simulations that describe aircraft point mass model flight with optimized control of elevator in presence of sinusoidal and stochastic wind profile. The next achievement is related to a biologically inspired sensory system that uses wing pressure measurements for local angle of attack estimation. That particular system found purpose in wind field estimation, as decisive mechanism and stall protection. Finally, last contributions are related to experience and results gained from flight tests which aimed to prove increase in energy state of the aircraft while performing energy harvesting maneuvers. The first flight test campaign was performed with commercially available mini UAV equipped with multi-hole probes and custom designed controller. This campaign demonstrated the raise in energy state within strong horizontal wind gradient. The second flight test campaign was done with a flying wing equipped with pressure sensing system for wind field estimation. This campaign also involved additional insight savings in electrical power consumption during energy harvesting flights.

<div> The Unmanned Aerial Vehicles (UAV) technology has evolved exponentially in recent years. Smaller and less expensive devices allow a world of new applications in different areas, but as this progress can be beneficial, the use of UAVs with malicious intentions also poses a threat. UAVs can carry weapons or explosives and access restricted zones passing undetected, representing a real threat for civilians and institutions. Acoustic detection in combination with machine learning models emerges as a viable solution since, despite its limitations related with environmental noise, it has provided promising results on classifying UAV sounds, it is adaptable to multiple environments, and especially, it can be a cost-effective solution, something much needed in the counter UAV market with high projections for the coming years. The problem addressed by this project is the need for a real-world adaptable solution which can show that an array of acoustic sensors can be implemented for the detection and localization of UAVs with minimal cost and competitive performance.<br><br></div><div> In this research, a low-cost acoustic detection system that can detect, in real time, about the presence and direction of arrival of a UAV approaching a target was engineered and validated. The model developed includes an array of acoustic sensors remotely connected to a central server, which uses the sound signals to estimate the direction of arrival of the UAV. This model works with a single microphone per node which calculates the position based on the acoustic intensity change produced by the UAV, reducing the implementation costs and being able to work asynchronously. The development of the project included collecting data from UAVs flying both indoors and outdoors, and a performance analysis under realistic conditions. <br><br></div><div> The results demonstrated that the solution provides real time UAV detection and localization information to protect a target from an attacking UAV, and that it can be applied in real world scenarios. </div><div><br></div>

Les réseaux de capteurs sans fil sont maintenant un moyen crédible de collecte de données sur les cultures. L'installation d'une structure de communication fixe pour relayer les données surveillées depuis la tête de grappe jusqu'à sa destination finale peut être soit impraticable en raison de la topologie du terrain, soit prohibitive en raison du coût initial élevé. Une solution plausible consiste à utiliser des véhicules aériens sans pilote (UAV) comme moyen alternatif de collecte de données et de contrôle de supervision limité de l'état des détecteurs. Dans cet article, nous considérons le cas des parcelles agricoles disjointes comprenant chacune des grappes de capteurs, organisées de manière prédéterminée en fonction des objectifs d'élevage. Cette recherche vise à trouver une solution optimale pour la recherche de UAV et la collecte de données à partir de tous les capteurs installés dans un champ de culture. En outre, le protocole de routage des capteurs tiendra compte d'un compromis entre la gestion de l'énergie et les frais généraux de diffusion des données. Le système proposé est évalué en utilisant un modèle simulé et il devrait trouver une classe parmi toutes les sous-considérations. / Wireless sensor networks are now a credible means for crop data collection. The installation of a fixed communication structure to relay the monitored data from the cluster head to its final destination can either be impractical because of land topology or prohibitive due to high initial cost. A plausible solution is to use Unmanned Aerial Vehicles (UAV) as an alternative means for both data collection and limited supervisory control of sensors status. In this paper, we consider the case of disjoint farming parcels each including clusters of sensors, organized in a predetermined way according to farming objectives. This research focuses to drive an optimal solution for UAV search and data gathering from all sensors installed in a crop field. Furthermore, the sensor routing protocol will take into account a tradeoff between energy management and data dissemination overhead.The proposed system is evaluated by using a simulated model and it should find out a class among all under consideration.

UAV:er används frekvent i samhället och med detta har den kommersiella marknaden växt. Därför är det rimligt att de används i större utsträckning i konflikter, vilket innebär att konflikter där båda parter har UAV:er som kan klassas som relativt högteknologiska möts blir troligare. Ukraina och Rysslands användande av UAV i Ukraina kan räknas som denna typ av konflikt.  I uppsatsen är det UAV:er av den militära typen som diskuteras. Skillnaden mellan dessa och civila typer är framförallt räckvidd, flygtid och kvalitén på sensorerna.För att undersöka hur UAV:er nyttjas och taktiseras med i denna typ av konflikter har följande frågeställning använts: Hur påverkas nyttjandet av UAV:er i en konflikt mellan två högteknologiska motståndare?Genom att analysera beslutsprocessen med hjälp av OODA-loopen och bekämpningskedjan har författaren kunnat dra följande slutsatser om nyttjandet i denna typ av konflikt. Uppsatsen är genomförd som en fallstudie där metoderna kvalitativ textanalys och intervju använts Slutsatsen är att den multiplikator som UAV varit i Ukraina visar på att de kommer fortsätta användas i framtida konflikter. Trots att telekrig varit aktivt mot just UAV:erna och att de saknar motmedel mot störningen har de fortsatt att nyttjas, den multiplikatoreffekt de bidrar med kan motiveras stridsekonomiskt och väger tyngre än de problem som störningen innebär. / UAV: s are in more frequent use as a result of a growing commercial market. This increases the probability of UAV: s in conflicts. This means that conflicts where both sides have access to UAV: s that are relatively high-tech becomes more likely. Ukraine and Russia’s use of UAV: s in Ukraine can be described as this kind of conflict. In this paper it is primarily military UAV: s that are discussed. The difference between these and their civilian counterparts are range, flight time and the quality of the sensors. In order to understand how the use of UAV: s is being affected, the following question needs to be answered.  How is the use of UAV: s affected in a conflict between two high-tech opponents? This was answered by analysing the decision-making process using the OODA loop and the kill chain. The paper is a case study which uses qualitative text analysis and an interview.The conclusion of this paper is that UAV: s has acted as a force multiplier in Ukraine and they will be used in future conflicts. Despite the electronic warfare against the UAV: s and the fact that they are missing systems for counteracting the disturbance both sides continue to use UAV: s. The force multiplier that is gained from using UAV: s is justified from a battle economic standpoint despite being hindered by electronic warfare.

This thesis presents how unmanned aerial vehicles (UAVs) can successfully assist in search and rescue (SAR) operations using wireless localization. The zone-grid to partition to capture/detect WiFi probe requests follows the concepts found in Search Theory Method. The UAV has attached a sensor, e.g., WiFi sniffer, to capture/detect the WiFi probes from victims or lost people’s smartphones. Applying the Random-Forest based machine learning algorithm, an estimation of the user's location is determined with a 81.8% accuracy. UAV technology has shown limitations in the navigational performance and limited flight time. Procedures to optimize these limitations are presented. Additionally, how the UAV is maneuvered during flight is analyzed, considering different SAR flight patterns and Li-Po battery consumption rates of the UAV. Results show that controlling the UAV by remote-controll detected the most probes, but it is less power efficient compared to control it autonomously.

<p>Den senaste trenden inom flygvapenindustrin är utveckling av obemannade farkoster. Den svenska vapenindustrikoncernen Saab AB följer denna trend i och med den stundande introduktionen av företagets obemannade helikopter Skeldar V-150. Som ett led i vidareutvecklingen av detta system finns planer på att även lansera en marin variant, kallad Skeldar M. Tanken med denna marina variant är att möjliggöra fullständigt autonoma starter och landningar från fartyg. För att kunna genomföra detta på ett tryggt sätt även i hårt väder krävs att helikoptern hålls säkrad på fartygsdäcket såväl innan start som efter landning.</p><p>Uppgiften för detta arbete har varit att ta fram koncept för hur ett sådant säkringssystem skulle kunna se ut. För att ta fram idéer för dessa koncept har en flitigt brukad produktutvecklingsmetod använts. Metoden innebär att en kravspecifikation tas fram utifrån kundens behov. Med stöd av den genereras sedan ett antal produktkoncept genom kreativt tänkande och analyser av hur andra löser samma problem. Koncepten jämförs sedan utefter hur väl de uppfyller kundens behov och de bästa idéerna kan på så sätt väljas ut och vidareutvecklas.</p><p>De koncept som tagits fram i detta arbete har sträckt sig från enklare idéer där kardborrmaterial används för att säkra helikoptern, till system som mäter in helikopterns position relativt fartyget och justerar sitt eget läge därefter. Totalt framkom nio grundidéer och sammanlagt tolv varianter på antiglidsystem. I samråd med personer inblandade i Skeldar-projektet valdes sedermera tre av koncepten ut för att vidareutvecklas ytterligare, en lösning där helikoptern vinschas ner på däck, en annan där kardborrlås används för att säkra den och en tredje där sugkoppar håller Skeldar fast.</p><p>Med hänsyn tagen till bland annat svårigheter att implementera en vinschlösning ombord på såväl Skeldar som fartygen valdes denna lösning slutligen bort. Svårigheterna bottnar framför allt i utrymmesbrist och problem med automatisk sammankoppling av helikopter och fartyg. De koncept som rekommenderas i detta arbete blir därför ett av systemen med kardborrlås eller sugkoppar.</p> / <p>The latest trend within the air force industry is development of unmanned aerial vehicles. The Swedish defense industry group Saab AB is following this trend by means of the introduction of their unmanned helicopter Skeldar V-150. As part of the further development of this system Saab has plans on introducing a marine version of the system, called Skeldar M. One of the purposes of this version is to enable completely autonomous take-offs and landings from ships. To be able to complete this in a safe manner in harsh conditions the helicopter needs to be secured to the deck before take-off as well as after landing.</p><p>The purpose of this thesis has been to develop a concept for keeping Skeldar secured on deck. To establish ideas for these concepts a common method for product development has been used. The method involves acquiring customer needs and from these needs establish a list of demands on the product itself. A set of product concepts are then generated by means of creative thinking and competitor analysis. After that the concepts are compared based on how well they meet the demands put upon them and the best ideas get picked out and further developed.</p><p>The concepts developed in this thesis stretch from simple ideas where hook and loop fasteners are used to secure the helicopter to more advanced ones where the helicopter’s position relative to the ship is measured and the system adjust to this position. All in all nine basic ideas were developed and a total of twelve versions on securing systems. In consultation with people involved in the Skeldar project, three of the concepts were chosen for further development, one concept where the helicopter was winched to the deck, a second where hook and loop fasteners were used to secure it and finally one where vacuum grippers keeps Skeldar on deck.</p><p>With difficulties of implementing a winch system onboard Skeldar as well as on board the ships taken into account, this solution was dropped. This was primarly due to lack of space and difficulties solving an automatic connection between helicopter and ship. The concepts recommended in this thesis will therefore be one of the systems where hook and loop fasteners or vacuum grippers are used.</p>

Den senaste trenden inom flygvapenindustrin är utveckling av obemannade farkoster. Den svenska vapenindustrikoncernen Saab AB följer denna trend i och med den stundande introduktionen av företagets obemannade helikopter Skeldar V-150. Som ett led i vidareutvecklingen av detta system finns planer på att även lansera en marin variant, kallad Skeldar M. Tanken med denna marina variant är att möjliggöra fullständigt autonoma starter och landningar från fartyg. För att kunna genomföra detta på ett tryggt sätt även i hårt väder krävs att helikoptern hålls säkrad på fartygsdäcket såväl innan start som efter landning. Uppgiften för detta arbete har varit att ta fram koncept för hur ett sådant säkringssystem skulle kunna se ut. För att ta fram idéer för dessa koncept har en flitigt brukad produktutvecklingsmetod använts. Metoden innebär att en kravspecifikation tas fram utifrån kundens behov. Med stöd av den genereras sedan ett antal produktkoncept genom kreativt tänkande och analyser av hur andra löser samma problem. Koncepten jämförs sedan utefter hur väl de uppfyller kundens behov och de bästa idéerna kan på så sätt väljas ut och vidareutvecklas. De koncept som tagits fram i detta arbete har sträckt sig från enklare idéer där kardborrmaterial används för att säkra helikoptern, till system som mäter in helikopterns position relativt fartyget och justerar sitt eget läge därefter. Totalt framkom nio grundidéer och sammanlagt tolv varianter på antiglidsystem. I samråd med personer inblandade i Skeldar-projektet valdes sedermera tre av koncepten ut för att vidareutvecklas ytterligare, en lösning där helikoptern vinschas ner på däck, en annan där kardborrlås används för att säkra den och en tredje där sugkoppar håller Skeldar fast. Med hänsyn tagen till bland annat svårigheter att implementera en vinschlösning ombord på såväl Skeldar som fartygen valdes denna lösning slutligen bort. Svårigheterna bottnar framför allt i utrymmesbrist och problem med automatisk sammankoppling av helikopter och fartyg. De koncept som rekommenderas i detta arbete blir därför ett av systemen med kardborrlås eller sugkoppar. / The latest trend within the air force industry is development of unmanned aerial vehicles. The Swedish defense industry group Saab AB is following this trend by means of the introduction of their unmanned helicopter Skeldar V-150. As part of the further development of this system Saab has plans on introducing a marine version of the system, called Skeldar M. One of the purposes of this version is to enable completely autonomous take-offs and landings from ships. To be able to complete this in a safe manner in harsh conditions the helicopter needs to be secured to the deck before take-off as well as after landing. The purpose of this thesis has been to develop a concept for keeping Skeldar secured on deck. To establish ideas for these concepts a common method for product development has been used. The method involves acquiring customer needs and from these needs establish a list of demands on the product itself. A set of product concepts are then generated by means of creative thinking and competitor analysis. After that the concepts are compared based on how well they meet the demands put upon them and the best ideas get picked out and further developed. The concepts developed in this thesis stretch from simple ideas where hook and loop fasteners are used to secure the helicopter to more advanced ones where the helicopter’s position relative to the ship is measured and the system adjust to this position. All in all nine basic ideas were developed and a total of twelve versions on securing systems. In consultation with people involved in the Skeldar project, three of the concepts were chosen for further development, one concept where the helicopter was winched to the deck, a second where hook and loop fasteners were used to secure it and finally one where vacuum grippers keeps Skeldar on deck. With difficulties of implementing a winch system onboard Skeldar as well as on board the ships taken into account, this solution was dropped. This was primarly due to lack of space and difficulties solving an automatic connection between helicopter and ship. The concepts recommended in this thesis will therefore be one of the systems where hook and loop fasteners or vacuum grippers are used.