Searched for: contributor%3A%22Della+Santina%2C+C.+%28graduation+committee%29%22
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van der Staaij, Jasper (author)
An intracranial aneurysm is a bulge in the cerebral vasculature. The rupture of an aneurysm results in a brain bleed. As a consequence, most patients become severely handicapped or may even die. Preventive treatment with endovascular coiling is controversial due to the high risk of complications. These complications are partly caused by the...
master thesis 2022
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Bay, Besim (author)
Grocery e-commerce has been rapidly increasing in recent years, posing a new challenge for retailers as groceries, unlike other goods, have a limited shelf life. Thus, customers expect their orders to arrive quickly and undamaged. Currently, most processes between a customer placing an order and the delivery are performed manually in a warehouse...
master thesis 2022
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Huang, ZhiLi (author)
Kidney stone disease has become the most common disease of the urinary tract. Flexible ureteroscopy (fURS) is one of the methods to perform diagnosis or treatment for the stones inside the kidney. However, because of the complex structure inside the kidney with multiple calyxes and the limitation of the ureteroscope, surgeons find it difficult...
master thesis 2022
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Uitendaal, Sven (author)
While robots execute many tasks where physical interaction with the environment is required, it is still challenging to control a robot that deliberately makes contact at a non-zero velocity, especially with multiple contact points that are impacted simultaneously.<br/>When there is a mismatch between planned and actual impact time, the robot...
master thesis 2022
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Gil Andres, Álvaro (author)
Human-robot interaction is a growing field that aims to research and develop communication channels between humans and robots to enhance comfort, safety, and productivity in healthcare, the household, and the industry. Researchers have considered ergonomy-related metrics to compose these channels for physical human-robot collaborative scenarios....
master thesis 2021
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TSAI, CHIA-YU (author)
Deformable objects manipulation (DOM) is largely considered an open problem in robotics. The complexity stems from the high degrees of freedom and nonlinear nature of the object configurations. In this thesis, we consider placing and flattening tasks for cloth-like objects. We propose a practical framework to place a cloth on a surface based on...
master thesis 2021
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Deken, Mitchel (author)
Active inference is a novel brain theory based on the free energy principle, stating that every organism, in order to stay alive, minimizes a certain free energy. This theory is being translated into robot control, hoping to mimic the capabilities of the brain. Research in this field of robotics is still quite young, and active inference has yet...
master thesis 2021
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van der Graaf, Thomas (author)
The demand for faster production times and higher precisions in the industrial automation is ever-increasing. Resonance modes caused by flexural elements in these machines are limiting the maximum bandwidth. Because of this, high-precision motion systems in industrial machines are limited in the maximum operating speed and precision. To improve...
master thesis 2021
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Bongaardt, Laura (author)
Robots that use legged locomotion have the ability to overcome obstacles and can negotiate a wide range of difficult terrains, such as encountered in outer-space missions. In many practical scenarios however, their applicability is still limited, mainly due to insufficient speed and efficiency. On the other hand, robots that use wheeled...
master thesis 2021
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Schol, Jasper (author)
Teleoperated semi-autonomous care robots aim to alleviate work pressure from care workers. Unlike many traditional stiff position-controlled robots, the care robot is operating in a shared environment with humans that is often unpredictable and unknown. Especially when dealing with tasks that involve contact with the environment, modulation of...
master thesis 2020
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van Diggelen, Fuda (author)
This thesis is motivated by evolutionary robot systems where robot bodies and brains evolve simultaneously. In such a robot system, `birth' must be followed by `infant learning' by a learning method that works for various morphologies evolution may produce. Here we address the task of directed locomotion in modular robots with controllers based...
master thesis 2020
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