Searched for: subject:"Path%5C+Planning"
(1 - 18 of 18)
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van Unen, Wouter (author)
In the automotive industry, automation is on the rise and it increases safety while decreasing costs. Improved sensor performance and greater computing power steers the future of the shipping industry in the same direction. Avoiding obstacles in close proximity is one of the current challenges. This research provides a generic and open- source...
master thesis 2020
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Martinez Claramunt, F. (author)
Multi-robot motion planning without a central coordinator usually relies on the sharing of planned trajectories among the robots via wireless communication in order to achieve predictive collision avoidance. Path planners found in the literature that feature this scheme usually boast levels of performance comparable with their centralized...
master thesis 2020
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Lyrakis, Alexios (author)
The last years there is a wide interest in UAVs which can be attributed to their low cost and wide range of use in recreational, commercial and scientific applications. Despite the large increase in drones, UAV flights are permitted only in secluded areas. In order to be granted access to public areas, it must prove its capacity to sense and...
master thesis 2019
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Haak, Kasper (author)
In modern society cars are one of the most important means of transportation. Unfortunately, many people die in car accidents around the world. Research shows that the number of fatal casualties in car accidents has been increasing for the past decade and that the largest cause of these accidents is the human driver. For this reason, research on...
master thesis 2019
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Oude Grotebevelsborg, Rik (author)
Successful implementation of fully autonomous vehicles is a much desired objective. Within the area of unmanned marine craft or unmanned surface vehicles (USV), the implementation of truly autonomous navigation is still a challenge. During times in which humans are still actively involved in the processof maritime navigation, regulations are...
master thesis 2019
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Tsutsunava, Nick (author)
Kinodynamic planning is motion planning in state space and aims to satisfy kinematic and dynamic constraints. To reduce its computational cost, a popular approach is to use sampling based methods such as RRT with off-line machine learning for estimating the steering cost and inputs. However, scalability and robustness are still open challenges...
master thesis 2018
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Aarts, Jeremy (author)
Manufacturing processes often run on a schedule, because each production step takes a certain amount of time, after which a component is transported to the next machine. Mobile robots can be used to automate transportation of components between production steps. To do so, a task scheduler assigns transportation tasks to robots and a path planner...
master thesis 2018
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Anil Meera, Ajith (author)
Target search in an obstacle filled environment is a practically relevant challenge in robotics that has a huge impact in the society. The wide range of applications include searching for victims in a search and rescue operation, detecting weeds in precision agriculture, patrolling borders for military and navy, automated census of endangered...
master thesis 2018
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Taams, Hugo (author)
This thesis report proposes a framework to implement Navigation, Guidance and Control (GNC) systems, that enable point-to-point autonomy for displacement vessels. A model-based control approach is chosen as the basis of the GNC systems. The resulting algorithms are implemented for verification in a 1:25 scale model of a Azimuth Stern Drive (ASD)...
master thesis 2018
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Snapper, Eloy (author)
This report presents the results of the graduation thesis from the TU Delft, performed at the Integrated Vehicle Safety department of TNO. The goal of this graduation project is to develop a unified path planning and tracking method for autonomous vehicles in highway driving scenarios, by making use of Artificial Potential Fields (APFs).<br/><br...
master thesis 2018
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Raipuria, Geetank (author)
An autonomous vehicle should be able to operate amidst numerous other human-driven vehicles, each driving on its own trajectory. To safely navigate in such a dynamic environment, the autonomous vehicle should be able to predict trajectories of the vehicles operating in its vicinity and use these to plan its own path. Most related work uses a...
master thesis 2017
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Deen, Steven (author)
Autonomous underwater vehicles (AUVs) are unmanned vehicles that operate underwater. These vehicles can be used for various operations, including scanning the ocean floor in order to search for objects. In such operations, the AUV navigates close to the ocean floor, using its sonar systems to map this ocean floor. Before an AUV is launched on a...
master thesis 2017
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Bhowal, Abhranil (author)
A Reinforcement Learning (RL) agent learns about its environment through exploration. For most physical applications such as search and rescue UAVs, this exploration must take place with safety in mind. Unregulated exploration, especially at the beginning of a run, will lead to fatal situations such as crashes. One approach to mitigating these...
master thesis 2017
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Langenkamp, W.H. (author)
Reinforcement learning is a machine learning paradigm that deals with optimisation and learns by interacting with its environment. Tabular reinforcement learning methods are popular because of their relative simplicity combined with good guarantees of finding an optimal solution. The downside is that they suffer from an exponentially growing...
master thesis 2016
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Damen, M.F.A. (author)
INTERACT is a space technology demonstration experiment in which an advanced wheeled mobile robot (WMR) will be tele-operated from space. The experiment consists of a navigation phase and a manipulation phase. To cope with adverse communication conditions and limited means for control, an autonomous navigation algorithm needs to be developed for...
master thesis 2015
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Lazos Fernandez, H.A. (author)
The aviation industry has struggled with reducing the amount of noise that aircraft generate, especially when flying close to communities. This effort has led to the introduction of technological and operational novelties such as efficient trajectory planning. In line with these operational efforts, a tool has been designed in the TU Delft,...
master thesis 2015
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Falatehan, K. (author)
At Mechatronics in Medicine (MiM) Laboratory of Imperial College London, a neurosurgical steerable flexible probe ( STING) that is used to access deep brain lesions through curved trajectories is currently being developed. The focus of my research project is mainly on trajectory planning of the flexible probe i.e. investigation on how to...
master thesis 2012
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Helmerhorst, G.J. (author)
In de huidige praktijk van gebiedsontwikkelingsprojecten vindt het besluitvormingsproces plaats in pluricentrische besluitvormingsarenas, waarin sprake is van interorganisatorische planning. Door de wederzijdse afhankelijkheid tussen de partijen in deze arenas, de daaraan verbonden steeds wisselende partnerschappen en het onbekende eindresultaat...
master thesis 2007
Searched for: subject:"Path%5C+Planning"
(1 - 18 of 18)