Autonomous 3D Exploration of Large Structures Using an UAV Equipped with a 2D LIDAR

This paper addressed the challenge of exploring large, unknown, and unstructured industrial environments with an unmanned aerial vehicle (UAV). The resulting system combined well-known components and techniques with a new manoeuvre to use a low-cost 2D laser to measure a 3D structure. Our approach combined frontier-based exploration, the Lazy Theta* path planner, and a flyby sampling manoeuvre to create a 3D map of large scenarios. One of the novelties of our system is that all the algorithms relied on the multi-resolution of the octomap for the world representation. We used a Hardware-in-the-Loop (HitL) simulation environment to collect accurate measurements of the capability of the open-source system to run online and on-board the UAV in real-time. Our approach is compared to different reference heuristics under this simulation environment showing better performance in regards to the amount of explored space. With the proposed approach, the UAV is able to explore 93% of the search space under 30 min, generating a path without repetition that adjusts to the occupied space covering indoor locations, irregular structures, and suspended obstaclesUnión Europea Marie Sklodowska-Curie 64215Unión Europea MULTIDRONE (H2020-ICT-731667)Uniión Europea HYFLIERS (H2020-ICT-779411

Ubiquitous supercomputing : design and development of enabling technologies for multi-robot systems rethinking supercomputing

Supercomputing, also known as High Performance Computing (HPC), is almost everywhere (ubiquitous), from the small widget in your phone telling you that today will be a sunny day, up to the next great contribution to the understanding of the origins of the universe.However, there is a field where supercomputing has been only slightly explored - robotics. Other than attempts to optimize complex robotics tasks, the two forces lack an effective alignment and a purposeful long-term contract. With advancements in miniaturization, communications and the appearance of powerful, energy and weight optimized embedded computing boards, a next logical transition corresponds to the creation of clusters of robots, a set of robotic entities that behave similarly as a supercomputer does. Yet, there is key aspect regarding our current understanding of what supercomputing means, or is useful for, that this work aims to redefine. For decades, supercomputing has been solely intended as a computing efficiency mechanism i.e. decreasing the computing time for complex tasks. While such train of thought have led to countless findings, supercomputing is more than that, because in order to provide the capacity of solving most problems quickly, another complete set of features must be provided, a set of features that can also be exploited in contexts such as robotics and that ultimately transform a set of independent entities into a cohesive unit.This thesis aims at rethinking what supercomputing means and to devise strategies to effectively set its inclusion within the robotics realm, contributing therefore to the ubiquity of supercomputing, the first main ideal of this work. With this in mind, a state of the art concerning previous attempts to mix robotics and HPC will be outlined, followed by the proposal of High Performance Robotic Computing (HPRC), a new concept mapping supercomputing to the nuances of multi-robot systems. HPRC can be thought as supercomputing in the edge and while this approach will provide all kind of advantages, in certain applications it might not be enough since interaction with external infrastructures will be required or desired. To facilitate such interaction, this thesis proposes the concept of ubiquitous supercomputing as the union of HPC, HPRC and two more type of entities, computing-less devices (e.g. sensor networks, etc.) and humans.The results of this thesis include the ubiquitous supercomputing ontology and an enabling technology depicted as The ARCHADE. The technology serves as a middleware between a mission and a supercomputing infrastructure and as a framework to facilitate the execution of any type of mission, i.e. precision agriculture, entertainment, inspection and monitoring, etc. Furthermore, the results of the execution of a set of missions are discussed.By integrating supercomputing and robotics, a second ideal is targeted, ubiquitous robotics, i.e. the use of robots in all kind of applications. Correspondingly, a review of existing ubiquitous robotics frameworks is presented and based upon its conclusions, The ARCHADE's design and development have followed the guidelines for current and future solutions. Furthermore, The ARCHADE is based on a rethought supercomputing where performance is not the only feature to be provided by ubiquitous supercomputing systems. However, performance indicators will be discussed, along with those related to other supercomputing features.Supercomputing has been an excellent ally for scientific exploration and not so long ago for commercial activities, leading to all kind of improvements in our lives, in our society and in our future. With the results of this thesis, the joining of two fields, two forces previously disconnected because of their philosophical approaches and their divergent backgrounds, holds enormous potential to open up our imagination for all kind of new applications and for a world where robotics and supercomputing are everywhere.La supercomputación, también conocida como Computación de Alto Rendimiento (HPC por sus siglas en inglés) puede encontrarse en casi cualquier lugar (ubicua), desde el widget en tu teléfono diciéndote que hoy será un día soleado, hasta la siguiente gran contribución al entendimiento de los orígenes del universo. Sin embargo, hay un campo en el que ha sido poco explorada - la robótica. Más allá de intentos de optimizar tareas robóticas complejas, las dos fuerzas carecen de un contrato a largo plazo. Dado los avances en miniaturización, comunicaciones y la aparición de potentes computadores embebidos, optimizados en peso y energía, la siguiente transición corresponde a la creación de un cluster de robots, un conjunto de robots que se comportan de manera similar a un supercomputador. No obstante, hay un aspecto clave, con respecto a la comprensión de la supercomputación, que esta tesis pretende redefinir. Durante décadas, la supercomputación ha sido entendida como un mecanismo de eficiencia computacional, es decir para reducir el tiempo de computación de ciertos problemas extremadamente complejos. Si bien este enfoque ha conducido a innumerables hallazgos, la supercomputación es más que eso, porque para proporcionar la capacidad de resolver todo tipo de problemas rápidamente, se debe proporcionar otro conjunto de características que también pueden ser explotadas en la robótica y que transforman un conjunto de robots en una unidad cohesiva. Esta tesis pretende repensar lo que significa la supercomputación y diseñar estrategias para establecer su inclusión dentro del mundo de la robótica, contribuyendo así a su ubicuidad, el principal ideal de este trabajo. Con esto en mente, se presentará un estado del arte relacionado con intentos anteriores de mezclar robótica y HPC, seguido de la propuesta de Computación Robótica de Alto Rendimiento (HPRC, por sus siglas en inglés), un nuevo concepto, que mapea la supercomputación a los matices específicos de los sistemas multi-robot. HPRC puede pensarse como supercomputación en el borde y si bien este enfoque proporcionará todo tipo de ventajas, ciertas aplicaciones requerirán una interacción con infraestructuras externas. Para facilitar dicha interacción, esta tesis propone el concepto de supercomputación ubicua como la unión de HPC, HPRC y dos tipos más de entidades, dispositivos sin computación embebida y seres humanos. Los resultados de esta tesis incluyen la ontología de la supercomputación ubicua y una tecnología llamada The ARCHADE. La tecnología actúa como middleware entre una misión y una infraestructura de supercomputación y como framework para facilitar la ejecución de cualquier tipo de misión, por ejemplo, agricultura de precisión, inspección y monitoreo, etc. Al integrar la supercomputación y la robótica, se busca un segundo ideal, robótica ubicua, es decir el uso de robots en todo tipo de aplicaciones. Correspondientemente, una revisión de frameworks existentes relacionados serán discutidos. El diseño y desarrollo de The ARCHADE ha seguido las pautas y sugerencias encontradas en dicha revisión. Además, The ARCHADE se basa en una supercomputación repensada donde la eficiencia computacional no es la única característica proporcionada a sistemas basados en la tecnología. Sin embargo, se analizarán indicadores de eficiencia computacional, junto con otros indicadores relacionados con otras características de la supercomputación. La supercomputación ha sido un excelente aliado para la exploración científica, conduciendo a todo tipo de mejoras en nuestras vidas, nuestra sociedad y nuestro futuro. Con los resultados de esta tesis, la unión de dos campos, dos fuerzas previamente desconectadas debido a sus enfoques filosóficos y sus antecedentes divergentes, tiene un enorme potencial para abrir nuestra imaginación hacia todo tipo de aplicaciones nuevas y para un mundo donde la robótica y la supercomputación estén en todos lado

Ubiquitous supercomputing : design and development of enabling technologies for multi-robot systems rethinking supercomputing

Supercomputing, also known as High Performance Computing (HPC), is almost everywhere (ubiquitous), from the small widget in your phone telling you that today will be a sunny day, up to the next great contribution to the understanding of the origins of the universe.However, there is a field where supercomputing has been only slightly explored - robotics. Other than attempts to optimize complex robotics tasks, the two forces lack an effective alignment and a purposeful long-term contract. With advancements in miniaturization, communications and the appearance of powerful, energy and weight optimized embedded computing boards, a next logical transition corresponds to the creation of clusters of robots, a set of robotic entities that behave similarly as a supercomputer does. Yet, there is key aspect regarding our current understanding of what supercomputing means, or is useful for, that this work aims to redefine. For decades, supercomputing has been solely intended as a computing efficiency mechanism i.e. decreasing the computing time for complex tasks. While such train of thought have led to countless findings, supercomputing is more than that, because in order to provide the capacity of solving most problems quickly, another complete set of features must be provided, a set of features that can also be exploited in contexts such as robotics and that ultimately transform a set of independent entities into a cohesive unit.This thesis aims at rethinking what supercomputing means and to devise strategies to effectively set its inclusion within the robotics realm, contributing therefore to the ubiquity of supercomputing, the first main ideal of this work. With this in mind, a state of the art concerning previous attempts to mix robotics and HPC will be outlined, followed by the proposal of High Performance Robotic Computing (HPRC), a new concept mapping supercomputing to the nuances of multi-robot systems. HPRC can be thought as supercomputing in the edge and while this approach will provide all kind of advantages, in certain applications it might not be enough since interaction with external infrastructures will be required or desired. To facilitate such interaction, this thesis proposes the concept of ubiquitous supercomputing as the union of HPC, HPRC and two more type of entities, computing-less devices (e.g. sensor networks, etc.) and humans.The results of this thesis include the ubiquitous supercomputing ontology and an enabling technology depicted as The ARCHADE. The technology serves as a middleware between a mission and a supercomputing infrastructure and as a framework to facilitate the execution of any type of mission, i.e. precision agriculture, entertainment, inspection and monitoring, etc. Furthermore, the results of the execution of a set of missions are discussed.By integrating supercomputing and robotics, a second ideal is targeted, ubiquitous robotics, i.e. the use of robots in all kind of applications. Correspondingly, a review of existing ubiquitous robotics frameworks is presented and based upon its conclusions, The ARCHADE's design and development have followed the guidelines for current and future solutions. Furthermore, The ARCHADE is based on a rethought supercomputing where performance is not the only feature to be provided by ubiquitous supercomputing systems. However, performance indicators will be discussed, along with those related to other supercomputing features.Supercomputing has been an excellent ally for scientific exploration and not so long ago for commercial activities, leading to all kind of improvements in our lives, in our society and in our future. With the results of this thesis, the joining of two fields, two forces previously disconnected because of their philosophical approaches and their divergent backgrounds, holds enormous potential to open up our imagination for all kind of new applications and for a world where robotics and supercomputing are everywhere.La supercomputación, también conocida como Computación de Alto Rendimiento (HPC por sus siglas en inglés) puede encontrarse en casi cualquier lugar (ubicua), desde el widget en tu teléfono diciéndote que hoy será un día soleado, hasta la siguiente gran contribución al entendimiento de los orígenes del universo. Sin embargo, hay un campo en el que ha sido poco explorada - la robótica. Más allá de intentos de optimizar tareas robóticas complejas, las dos fuerzas carecen de un contrato a largo plazo. Dado los avances en miniaturización, comunicaciones y la aparición de potentes computadores embebidos, optimizados en peso y energía, la siguiente transición corresponde a la creación de un cluster de robots, un conjunto de robots que se comportan de manera similar a un supercomputador. No obstante, hay un aspecto clave, con respecto a la comprensión de la supercomputación, que esta tesis pretende redefinir. Durante décadas, la supercomputación ha sido entendida como un mecanismo de eficiencia computacional, es decir para reducir el tiempo de computación de ciertos problemas extremadamente complejos. Si bien este enfoque ha conducido a innumerables hallazgos, la supercomputación es más que eso, porque para proporcionar la capacidad de resolver todo tipo de problemas rápidamente, se debe proporcionar otro conjunto de características que también pueden ser explotadas en la robótica y que transforman un conjunto de robots en una unidad cohesiva. Esta tesis pretende repensar lo que significa la supercomputación y diseñar estrategias para establecer su inclusión dentro del mundo de la robótica, contribuyendo así a su ubicuidad, el principal ideal de este trabajo. Con esto en mente, se presentará un estado del arte relacionado con intentos anteriores de mezclar robótica y HPC, seguido de la propuesta de Computación Robótica de Alto Rendimiento (HPRC, por sus siglas en inglés), un nuevo concepto, que mapea la supercomputación a los matices específicos de los sistemas multi-robot. HPRC puede pensarse como supercomputación en el borde y si bien este enfoque proporcionará todo tipo de ventajas, ciertas aplicaciones requerirán una interacción con infraestructuras externas. Para facilitar dicha interacción, esta tesis propone el concepto de supercomputación ubicua como la unión de HPC, HPRC y dos tipos más de entidades, dispositivos sin computación embebida y seres humanos. Los resultados de esta tesis incluyen la ontología de la supercomputación ubicua y una tecnología llamada The ARCHADE. La tecnología actúa como middleware entre una misión y una infraestructura de supercomputación y como framework para facilitar la ejecución de cualquier tipo de misión, por ejemplo, agricultura de precisión, inspección y monitoreo, etc. Al integrar la supercomputación y la robótica, se busca un segundo ideal, robótica ubicua, es decir el uso de robots en todo tipo de aplicaciones. Correspondientemente, una revisión de frameworks existentes relacionados serán discutidos. El diseño y desarrollo de The ARCHADE ha seguido las pautas y sugerencias encontradas en dicha revisión. Además, The ARCHADE se basa en una supercomputación repensada donde la eficiencia computacional no es la única característica proporcionada a sistemas basados en la tecnología. Sin embargo, se analizarán indicadores de eficiencia computacional, junto con otros indicadores relacionados con otras características de la supercomputación. La supercomputación ha sido un excelente aliado para la exploración científica, conduciendo a todo tipo de mejoras en nuestras vidas, nuestra sociedad y nuestro futuro. Con los resultados de esta tesis, la unión de dos campos, dos fuerzas previamente desconectadas debido a sus enfoques filosóficos y sus antecedentes divergentes, tiene un enorme potencial para abrir nuestra imaginación hacia todo tipo de aplicaciones nuevas y para un mundo donde la robótica y la supercomputación estén en todos ladosPostprint (published version

Reference Model for Interoperability of Autonomous Systems

This thesis proposes a reference model to describe the components of an Un-manned Air, Ground, Surface, or Underwater System (UxS), and the use of a single Interoperability Building Block to command, control, and get feedback from such vehicles. The importance and advantages of such a reference model, with a standard nomenclature and taxonomy, is shown. We overview the concepts of interoperability and some efforts to achieve common refer-ence models in other areas. We then present an overview of existing un-manned systems, their history, characteristics, classification, and missions. The concept of Interoperability Building Blocks (IBB) is introduced to describe standards, protocols, data models, and frameworks, and a large set of these are analyzed. A new and powerful reference model for UxS, named RAMP, is proposed, that describes the various components that a UxS may have. It is a hierarchical model with four levels, that describes the vehicle components, the datalink, and the ground segment. The reference model is validated by showing how it can be applied in various projects the author worked on. An example is given on how a single standard was capable of controlling a set of heterogeneous UAVs, USVs, and UGVs

Modular Heterogeneous Multi-Agent Control Framework with Integrated Payloads

Small unmanned aircraft are being used in an increasing number of applications ranging from emergency response to parcel delivery. Many of these applications are benefited when employed as a multiple-vehicle operation. Such operations often require tight cooperation between heterogeneous vehicles and often depend on integration with sensors and payloads. Multi-agent control algorithms can be implemented to control such systems but often require the development of an underlying vehicle communications framework in addition to a sensors and payloads communications framework. This thesis presents a single unified modular framework, named Clark, and supports heterogeneous multi-agent control and sensor/payload integration. Clark provides a wireless network between agents without relying on pre-existing communications infrastructure, and provides software interfaces for connecting to a variety of payloads. This thesis first reviews small unmanned aircraft systems (SUAS), multi-agent control, multi-agent control testbeds, and wireless networking technologies used on SUAS. Systems engineering is then employed to develop an Identified Need, Concept of Operations (ConOps), and requirements. All Defined, Derived, and Design Requirements are explained and justified. Some requirements are highlighted to demonstrate key features of the Clark framework. The software architecture is explained in detail in a top-down approach. Hardware is selected for prototyping and shown to meet the requirements. Bench tests, ground tests, and flight tests are conducted to verify the framework’s ability to communicate between agents and affect control. Ground testing includes a multi-agent cooperative mission while flight testing features two and three agent missions. Test results are presented and demonstrate the candidacy of Clark as a modular heterogeneous multi-agent control framework with integrated payloads

Advances in Human Robot Interaction for Cloud Robotics applications

In this thesis are analyzed different and innovative techniques for Human Robot Interaction. The focus of this thesis is on the interaction with flying robots. The first part is a preliminary description of the state of the art interactions techniques. Then the first project is Fly4SmartCity, where it is analyzed the interaction between humans (the citizen and the operator) and drones mediated by a cloud robotics platform. Then there is an application of the sliding autonomy paradigm and the analysis of different degrees of autonomy supported by a cloud robotics platform. The last part is dedicated to the most innovative technique for human-drone interaction in the User’s Flying Organizer project (UFO project). This project wants to develop a flying robot able to project information into the environment exploiting concepts of Spatial Augmented Realit

On-board Obstacle Avoidance in the Teleoperation of Unmanned Aerial Vehicles

Teleoperation von Drohnen in Umgebungen ohne GPS-Verbindung und wenig Bewegungsspielraum stellt den Operator vor besondere Herausforderungen. Hindernisse in einer unbekannten Umgebung erfordern eine zuverlässige Zustandsschätzung und Algorithmen zur Vermeidung von Kollisionen. In dieser Dissertation präsentieren wir ein System zur kollisionsfreien Navigation einer ferngesteuerten Drohne mit vier Propellern (Quadcopter) in abgeschlossenen Räumen. Die Plattform ist mit einem Miniaturcomputer und dem Minimum an Sensoren ausgestattet. Diese Ausstattung genügt den Anforderungen an die Rechenleistung. Dieses Setup ermöglicht des Weiteren eine hochgenaue Zustandsschätzung mit Hilfe einer Kaskaden-Architektur, sehr gutes Folgeverhalten bezüglich der kommandierten Geschwindigkeit, sowie eine kollisionsfreie Navigation. Ein Komplementärfilter berechnet die Höhe der Drohne, während ein Kalman-Filter Beschleunigung durch eine IMU und Messungen eines Optical-Flow Sensors fusioniert und in die Softwarearchitektur integriert. Eine RGB-D Kamera stellt dem Operator ein visuelles Feedback, sowie Distanzmessungen zur Verfügung, um ein Roboter-zentriertes Modell umliegender Hindernisse mit Hilfe eines Bin-Occupancy-Filters zu erstellen. Der Algorithmus speichert die Position dieser Hindernisse, auch wenn sie das Sehfeld des Sensors verlassen, mit Hilfe des geschätzten Zustandes des Roboters. Das Prinzip des Ausweich-Algorithmus basiert auf dem Ansatz einer modell-prädiktiven Regelung. Durch Vorhersage der wahrscheinlichen Position eines Hindernisses werden die durch den Operator kommandierten Sollwerte gefiltert, um eine mögliche Kollision mit einem Hindernis zu vermeiden. Die Plattform wurde experimentell sowohl in einer räumlich abgeschlossenen Umgebung mit zahlreichen Hindernissen als auch bei Testflügen in offener Umgebung mit natürlichen Hindernissen wie z.B. Bäume getestet. Fliegende Roboter bergen das Risiko, im Fall eines Fehlers, sei es ein Bedienungs- oder Berechnungsfehler, durch einen Aufprall am Boden oder an Hindernissen Schaden zu nehmen. Aus diesem Grund nimmt die Entwicklung von Algorithmen dieser Roboter ein hohes Maß an Zeit und Ressourcen in Anspruch. In dieser Arbeit präsentieren wir zwei Methoden (Software-in-the-loop- und Hardware-in-the-loop-Simulation) um den Entwicklungsprozess zu vereinfachen. Via Software-in-the-loop-Simulation konnte der Zustandsschätzer mit Hilfe simulierter Sensoren und zuvor aufgenommener Datensätze verbessert werden. Eine Hardware-in-the-loop Simulation ermöglichte uns, den Roboter in Gazebo (ein bekannter frei verfügbarer ROS-Simulator) mit zusätzlicher auf dem Roboter installierter Hardware in Simulation zu bewegen. Ebenso können wir damit die Echtzeitfähigkeit der Algorithmen direkt auf der Hardware validieren und verifizieren. Zu guter Letzt analysierten wir den Einfluss der Roboterbewegung auf das visuelle Feedback des Operators. Obwohl einige Drohnen die Möglichkeit einer mechanischen Stabilisierung der Kamera besitzen, können unsere Drohnen aufgrund von Gewichtsbeschränkungen nicht auf diese Unterstützung zurückgreifen. Eine Fixierung der Kamera verursacht, während der Roboter sich bewegt, oft unstetige Bewegungen des Bildes und beeinträchtigt damit negativ die Manövrierbarkeit des Roboters. Viele wissenschaftliche Arbeiten beschäftigen sich mit der Lösung dieses Problems durch Feature-Tracking. Damit kann die Bewegung der Kamera rekonstruiert und das Videosignal stabilisiert werden. Wir zeigen, dass diese Methode stark vereinfacht werden kann, durch die Verwendung der Roboter-internen IMU. Unsere Ergebnisse belegen, dass unser Algorithmus das Kamerabild erfolgreich stabilisieren und der rechnerische Aufwand deutlich reduziert werden kann. Ebenso präsentieren wir ein neues Design eines Quadcopters, um dessen Ausrichtung von der lateralen Bewegung zu entkoppeln. Unser Konzept erlaubt die Neigung der Propellerblätter unabhängig von der Ausrichtung des Roboters mit Hilfe zweier zusätzlicher Aktuatoren. Nachdem wir das dynamische Modell dieses Systems hergeleitet haben, synthetisierten wir einen auf Feedback-Linearisierung basierten Regler. Simulationen bestätigen unsere Überlegungen und heben die Verbesserung der Manövrierfähigkeit dieses neuartigen Designs hervor.The teleoperation of unmanned aerial vehicles (UAVs), especially in cramped, GPS-restricted, environments, poses many challenges. The presence of obstacles in an unfamiliar environment requires reliable state estimation and active algorithms to prevent collisions. In this dissertation, we present a collision-free indoor navigation system for a teleoperated quadrotor UAV. The platform is equipped with an on-board miniature computer and a minimal set of sensors for this task and is self-sufficient with respect to external tracking systems and computation. The platform is capable of highly accurate state-estimation, tracking of the velocity commanded by the user and collision-free navigation. The robot estimates its state in a cascade architecture. The attitude of the platform is calculated with a complementary filter and its linear velocity through a Kalman filter integration of inertial and optical flow measurements. An RGB-D camera serves the purpose of providing visual feedback to the operator and depth measurements to build a probabilistic, robot-centric obstacle state with a bin-occupancy filter. The algorithm tracks the obstacles when they leave the field of view of the sensor by updating their positions with the estimate of the robot's motion. The avoidance part of our navigation system is based on the Model Predictive Control approach. By predicting the possible future obstacles states, the UAV filters the operator commands by altering them to prevent collisions. Experiments in obstacle-rich indoor and outdoor environments validate the efficiency of the proposed setup. Flying robots are highly prone to damage in cases of control errors, as these most likely will cause them to fall to the ground. Therefore, the development of algorithm for UAVs entails considerable amount of time and resources. In this dissertation we present two simulation methods, i.e. software- and hardware-in-the-loop simulations, to facilitate this process. The software-in-the-loop testing was used for the development and tuning of the state estimator for our robot using both the simulated sensors and pre-recorded datasets of sensor measurements, e.g., from real robotic experiments. With hardware-in-the-loop simulations, we are able to command the robot simulated in Gazebo, a popular open source ROS-enabled physical simulator, using computational units that are embedded on our quadrotor UAVs. Hence, we can test in simulation not only the correct execution of algorithms, but also the computational feasibility directly on the robot's hardware. Lastly, we analyze the influence of the robot's motion on the visual feedback provided to the operator. While some UAVs have the capacity to carry mechanically stabilized camera equipment, weight limits or other problems may make mechanical stabilization impractical. With a fixed camera, the video stream is often unsteady due to the multirotor's movement and can impair the operator's situation awareness. There has been significant research on how to stabilize videos using feature tracking to determine camera movement, which in turn is used to manipulate frames and stabilize the camera stream. However, we believe that this process could be greatly simplified by using data from a UAV’s on-board inertial measurement unit to stabilize the camera feed. Our results show that our algorithm successfully stabilizes the camera stream with the added benefit of requiring less computational power. We also propose a novel quadrotor design concept to decouple its orientation from the lateral motion of the quadrotor. In our design the tilt angles of the propellers with respect to the quadrotor body are being simultaneously controlled with two additional actuators by employing the parallelogram principle. After deriving the dynamic model of this design, we propose a controller for this platform based on feedback linearization. Simulation results confirm our theoretical findings, highlighting the improved motion capabilities of this novel design with respect to standard quadrotors