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Barbera, Matteo (author)Flying-wings show great potential for a vast number of applications, in both commercial and military sectors, thanks to their long range and fast forward flight, but suffer due to their lack of vertical take-off and landing capabilities. This paper presents a proof of concept for a novel landing method for a conventional flying wing that does...master thesis 2022
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Bouwmeester, Rik (author)Nano quadcopters are small, agile, and cheap platforms well suited for deployment in narrow, cluttered environments. Due to their limited payload, nano quadcopters are highly constrained in processing power, rendering conventional vision-based methods for autonomous navigation incompatible. Recent machine learning developments promise high...master thesis 2022
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Goudswaard, Reinier (author)The growing demand for efficient propulsion systems that operate primarily in hover, has led the ducted rotor configuration to emerge as an increasingly popular design solution. One of the major design parameters for the ducted-rotor assembly is the radial distance between the blade tip and the circumferential wall of the duct, referred to as...master thesis 2021
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van Beurden, Bas (author)Abstract—Ultra-wideband (UWB) ranging is a very suitable method for indoor localisation of unmanned aerial vehicles (UAVs). Current solutions of UWB ranging however either focus on achieving a high accuracy or focus on scalability. In this research a positioning algorithm for UAVs is presented that combines high accuracy performance with a high...master thesis 2021
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Narasimhan, Abishek (author)The thesis aims to develop a Fault Tolerant Control (FTC) architecture, for the case of a damaged actuator for a multirotor that can be applied across multirotor platforms based on their Attainable Virtual Control Set (AVCS). The research is aimed to study the AVCS and identify the parameters that limit the controllability of multirotor UAV post...master thesis 2020
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Coppola, M. (author), McGuire, K.N. (author), de Wagter, C. (author), de Croon, G.C.H.E. (author)This work presents a review and discussion of the challenges that must be solved in order to successfully develop swarms of Micro Air Vehicles (MAVs) for real world operations. From the discussion, we extract constraints and links that relate the local level MAV capabilities to the global operations of the swarm. These should be taken into...review 2020
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Suresh Subramonian, Jishnu (author)The most simplistic acts in nature can be incredibly complex to replicate. Among which, insects in general, are profound micro-machines with evolution as the backbone for their most optimized features. This study focuses on developing an efficient sensing and processing strategy for autonomous flight maneuvers in Atalanta, a bio-inspired robotic...master thesis 2020
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Scheper, K.Y.W. (author)Automatically optimizing robotic behavior to solve complex tasks has been one of<br/>the main, long-standing goals of Evolutionary Robotics (ER). When successful, this<br/>approach will likely fundamentally change the rate of development and deployment<br/>of robots in everyday life. Performing this optimization on real robots can be risky<br/...doctoral thesis 2019
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de Jonge, Reinier (author)Safe and reliable autonomous inspection tasks using \ac{MAVs} in cluttered environments are challenging due uncertainties encountered during inspections. In general, algorithms consist of pre-planning paths and executing them. These precomputed inspection paths do not consider potential occlusion by obstacles. In turn, this could render the path...master thesis 2019
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Fijen, Thomas (author)With the growing population the agricultural industry needs to find and implement new methods for enhancing food production. Using a Micro Aerial Vehicle (MAV) in Precision Agriculture (PA) offers a large number of benefits such as enabling the farmer to create targeted strategies to increase crop yield, reduced waste and halt the spread of...master thesis 2019
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van Vrede, Daan (author)Both quadcopter Micro Aerial Vehicles (MAVs) and Flapping Wing MAVs (FWMAVs) are constrained in Size, Weight and Processing power (SWaP) in order to achieve flight tasks that include attitude and velocity stabilisation, as well as obstacle avoidance. <br/>Conventional sensory and control approaches, such as those relying on inertial, visual and...master thesis 2018
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van Dalen, G.J.J. (author), McGuire, K.N. (author), de Croon, G.C.H.E. (author)Autonomous navigation is a major challenge in the development of Micro Aerial Vehicles (MAVs). Especially, when an algorithm has to be efficient, insect intelligence can be a source of inspiration. One of the elementary navigation tasks of insects and robots is “homing”, which is the task of returning to an initial starting position. A promising...journal article 2018
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Ozo, Michaël (author)High-speed autonomous flight of Micro Air Vehicles has gained much attention in recent years. However, flight in complex GPS-denied environments still poses a serious challenge. One scenario which contains these elements is drone racing, where pilots have to fly complex tracks at high speed, often in an indoor environment. In this work we...master thesis 2018
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Potdar, Nikhil (author)Micro Aerial Vehicles (MAVs) are increasingly being used for aerial transportation in remote and urban spaces where portability can be exploited to reach previously inaccessible and inhospitable spaces. Current approaches to MAV swung payload system path planning have primarily focused on pre-generating (agile) collision-free, or conservative...master thesis 2018
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Kisantal, Máté (author)Safe navigation in a cluttered environment is a key capability for the autonomous operation of Micro Aerial Vehicles (MAVs). This work explores a (deep) Reinforcement Learning (RL) based approach for monocular vision based obstacle avoidance and goal directed navigation for MAVs in cluttered environments. We investigated this problem in the...master thesis 2018
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van Dijk, Tom (author)This thesis presents a visual route following method that minimizes memory consumption to the point that even Micro Aerial Vehicles (MAV) equipped with only a simple microcontroller can traverse distances of a few hundred meters. Existing Simultaneous Localization and Mapping (SLAM) algorithms are too complex for use on a microcontroller....master thesis 2017
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Braber, T.I. (author)On-board stabilization of quadrotors is often done using an Inertial Measurement Unit (IMU), aided by additional sensors to combat the IMU drift. For example, GPS readings can aid when flying outdoors, or when flying in GPS denied environments, such as indoors, visual information from one or more camera modules can be used. <br/>A single...master thesis 2017
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Lee, Seong Hun (author)We propose a novel method to deal with the scale ambiguity in monocular SLAM based on control stability. We analytically show that (1) using unscaled state feedback from monocular SLAM for control can lead to system instability, and (2) there is a unique linear relationship between the absolute scale of the SLAM system and the control gain at...master thesis 2017
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- Janssen, R.M.J. (author) master thesis 2016
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Van Hecke, K.G. (author)We introduce, study and demonstrate Persistent Self-Supervised Learning (PSSL), a machine learning method for usage onboard robotic platforms. The PSSL model leverages a standard supervised learning method to simplify the learning problem, but acquires training data in an unsupervised and autonomous manner. Using two platforms, a small...master thesis 2015