Searched for: contributor%3A%22Sijs%2C+Joris+%28mentor%29%22
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Meijers, Willem (author)
The autonomy of mobile robots has been greatly improved in recent decades. For these robots, the field of search and rescue is of particular interest. This thesis introduces a new method to let a mobile robot (Spot by Boston Dynamics) explore and search for victims in unknown environments. Existing methods include coverage, which aims to fully...
master thesis 2022
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Iyer, Vishwas (author)
Significant work has been done in the field of computer vision focusing on learning and clustering methods. The use of improved learning methods has paved a way forward for researches to explore various theories to improve existing methods. One among various learning methods is Hierarchical learning which has showed impressive benefits and...
master thesis 2021
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PALANDE, SHREYASH (author)
Substantial efforts are being made to make robots more reliable and safe to work around humans. Robots often perform flawless demos in a controlled environment under the supervision of an operator but tend to fail in the real world when deployed for a long period of time due to faults and environmental disturbances. A robotic system is composed...
master thesis 2020
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Pietrak, Jakub (author)
Graph Neural Networks are a unique type of Deep Learning models that have a capability to exploit an explicitly stated structure of data representation. By design they carry a strong relational inductive bias, which is a set of assumptions that makes the algorithm prioritize some solutions over another, independent of observed data. This makes...
master thesis 2020
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Steenstra, Lukas (author)
Autonomous Underwater Vehicles (AUVs) are unmanned vehicles that give the opportunity to carry out lengthy and dangerous tasks autonomously. This is particularly useful for survey tasks, where the objective is to search the seafloor for objects. In this thesis work a planning system is developed that can plan a path for survey tasks, while...
master thesis 2019
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Vredeveldt, Sietske (author)
Autonomous Underwater Vehicles (AUVs) are unmanned vehicles that are often used for searching an area of the seabed for objects, such as naval mines. For autonomous planning of such search operations, it is useful to be able to infer what tasks an AUV can perform and how well it can do so. The objective for this final thesis project therefore...
master thesis 2019
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Demetriou, Kyriakos (author)
The area surveillance problem is the problem of surveying a known or an unknown area with the main purpose of detecting objects. This thesis will tackle the problem of how to employ a group of mobile-sensors for surveying an unobstructed area in an optimal manner. The mobile-sensors should make use of their onboard computers and they should...
master thesis 2019
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Sawant, Shambhuraj (author)
Reinforcement learning (RL) is an area of Machine Learning (ML) concerned with learning how a software-defined agent should act in an environment to maximize the rewards. Similar to many ML methods, RL suffers from the curse of dimensionality, the exponential increase in solution space with the increase in problem dimensions. Learning the...
master thesis 2018
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