Searched for: subject:"MAV"
(1 - 20 of 68)

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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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Del Estal Herrero, A. (author), Perçin, M. (author), Karasek, M. (author), van Oudheusden, B.W. (author)
Flow visualizations have been performed on a free flying, flapping-wing micro air vehicle (MAV), using a large-scale particle image velocimetry (PIV) approach. The PIV method involves the use of helium-filled soap bubbles (HFSB) as tracer particles. HFSB scatter light with much higher intensity than regular seeding particles, comparable to that...
journal article 2018
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Tijmons, S. (author), de Wagter, C. (author), Remes, B.D.W. (author), de Croon, G.C.H.E. (author)
Autonomous flight of Flapping Wing Micro Air Vehicles (FWMAVs) is a major challenge in the field of robotics, due to their light weight and their flapping-induced body motions. An FWMAV is presented weighing a mere 20 g while all its sensors and processing for autonomous flight are onboard. The navigation is based on a 4-g stereo vision camera...
journal article 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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Rijks, F.G.J. (author)
The effects of horizontal tail geometry and position on longitudinal flapping-wing micro aerial vehicle dynamics were studied using wind tunnel and free-flight experiments. Linearised models were used to analyse the effect on the dynamic properties of the ornithopter. Results show higher steady-state velocity and increased pitch damping for...
master thesis 2017
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Janssen, R.M.J. (author)
master thesis 2016
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Van Dalen, G.J.J. (author)
Autonomous navigation is a major challenge in the development of MAVs. When an algorithm has to be efficient, insect intelligence can be a source of inspiration. An elementary navigation task is homing, which means autonomously returning to the initial location. A promising approach makes use of visual familiarity of a route to determine...
master thesis 2016
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Scheper, K.Y.W. (author), Tijmons, S. (author), de Visser, C.C. (author), de Croon, G.C.H.E. (author)
Evolutionary Robotics allows robots with limited sensors and processing to tackle complex tasks by means of sensory-motor coordination. In this article we show the first application of the Behavior Tree framework on a real robotic platform using the evolutionary robotics methodology. This framework is used to improve the intelligibility of the...
journal article 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
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Jain, R.P.K. (author)
Unmanned Aerial Vehicles (UAV) have received an increasing amount of attention recently with many applications being actively investigated across the globe, and several related open research questions being actively pursued. Possible applications include search and rescue, disaster relief, environmental monitoring and surveillance,...
master thesis 2015
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Deng, S. (author), Percin, M. (author), Van Oudheusden, B. (author)
This study explores the flow structures and unsteady force generation mechanisms of a flapping-wing micro air vehicle ‘DelFly Micro’ in forward flight configuration. Stereoscopic Particle Image Velocimetry (Stereo-PIV) measurements were performed to acquire three dimensional flow fields in the wake. Six components of forces and moments were...
journal article 2015
Searched for: subject:"MAV"
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