Searched for: contributor%3A%22Alonso+Mora%2C+J.+%28mentor%29%22
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SHI, MOJI (author)
Dynamic obstacle avoidance remains a crucial research area for autonomous systems, such as Micro Aerial Vehicles (MAVs) and service robots. <br/>Efforts to develop dynamic collision avoidance techniques in unknown environments have proliferated in recent years. While these methods exhibit impressive and reliable performance in simpler...
master thesis 2023
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ZHANG, Frankie (author)
Task and Motion Planning (TAMP) has progressed significantly in solving intricate manipulation tasks in recent years, but the robust execution of these plans remains less touched. Particularly, generalizing to diverse geometric scenarios is still challenging during execution. In this work, we propose a reactive TAMP method to deal with...
master thesis 2023
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Wu, Siyuan (author)
Recent progress in multiple micro aerial vehicle (MAV) systems has demonstrated autonomous navigation in static environments. Yet, there are limited works regarding the autonomous navigation of multiple MAVs in dynamic and unknown environments. The challenge arises from the complexity of the motion planning problem, which requires the MAVs to...
master thesis 2023
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LIU, Xinjie (author)
Many autonomous navigation tasks require mobile robots to operate in dynamic environments involving interactions between agents. Developing interaction-aware motion planning algorithms that enable safe and intelligent interactions remains challenging. Dynamic game theory renders a powerful mathematical framework to model these interactions...
master thesis 2023
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van Venrooij, Caspar (author)
Autonomous robots hold great potential for positive impacts on society by applying them to tasks that are hazardous, repetitive, or complex and difficult for humans to perform. To achieve these tasks, autonomous robots require the ability to perceive environmental changes and create corresponding motion plans, which involve a combination of...
master thesis 2023
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Cong, Shijie (author)
Autonomous robots have been widely applied to search and rescue missions for information gathering about target locations. This process needs to be continuously replanned based on new observations in the environment. For dynamic targets, the robot needs to not only discover them but also keep tracking their positions. Previous works focus on...
master thesis 2023
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Brouwer, Lucas (author)
The aging of society, population growth and chronic under-investments in education of healthcare workers have all led to a major imbalance between the demand for healthcare and the supply of healthcare. Autonomous robots can be used to relieve overqualified healthcare workers of their repetitive transportation tasks, allowing them to spend more...
master thesis 2022
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Claij, Cilia (author)
The simultaneous rapidly increasing demand for home delivery of goods and on-demand expectancy of customers over the past years leaves a tough challenge for the logistical branch. They have to keep up with this increasing demand and simultaneously they are obliged to satisfy consumer service level demands to preserve their customers. On the...
master thesis 2022
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Jansma, Walter (author)
With the world’s population recently surpassing the 8 billion mark, population growth poses significant challenges on the planet. This growth is particularly evident in urban areas, and as a consequence, cities must find innovative ways to accommodate the increasing pressure on the current road infrastructure. In Amsterdam, a city with an...
master thesis 2022
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Kemmeren, Anne (author)
This thesis proposes a novel algorithm, Wi-Closure, to improve computational efficiency and robustness of map matching in multi-robot SLAM. Current state-of-the-art techniques connect maps with inter-robot loop closures, that are usually found through place recognition. Wi-Closure decreases the computational overhead of these approaches by...
master thesis 2022
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Manivannan, Denesh (author)
Socially compliant robot navigation in pedestrian environments remains challenging owing to uncertainty in human behavior and varying pedestrian preferences in different social contexts. Local optimization planners like Model Predictive Control can incorporate collision avoidance constraints, but they can only lead to socially compliant...
master thesis 2022
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Theodoridis, Nander (author)
With increasing urbanization and a need to reduce greenhouse gas emissions, new forms of urban mobility are studied worldwide. An interesting transportation method is ridesharing, where people can share parts of their rides with other passengers travelling in a similar direction in the same car. To im- prove the attraction of ridesharing systems...
master thesis 2022
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Voogd, Kevin (author)
Autonomous driving is attracting growing attention because of the potential advantages it poses on safety, leisure, energy efficiency, reduced emissions, and traffic reduction. Current research is focusing on areas related to artificial intelligence to solve complex planning and decision-making tasks, object detection, or simultaneous...
master thesis 2022
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Matthieu, Mees (author)
On-demand ridesharing might be an effective solution to reduce traffic congestion and, as a result, reduce emissions to mitigate environmental issues. However, travel times are more uncertain in ridesharing services compared to non-shared transit services due to their shared nature. For example, at one moment, the users are informed that the...
master thesis 2022
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Bhatia, Stavya (author)
The recent decade has seen exponential growth in technology and information processing. This has enabled a paradigm shift in several logistical operations such as the introduction of on-demand same-day delivery of groceries.<br/><br/>One of the most relevant challenges in dynamic same-day pickup &amp; delivery systems is related to uncertainty...
master thesis 2022
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de Vries, Jitske (author)
With a growing number of citizens and tourists, the scarce public space, roads, and public transport in Amsterdam are experiencing rising pressure. Instead of utilizing the conventional transportation routes, Autonomous Surface Vessels (ASVs) could transport goods and people via the 165 canals present in Amsterdam. <br/>However, urban canals are...
master thesis 2021
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LUO, Qi (author)
Motion planning in cluttered environments is challenging for multi-robot systems, in which each robot needs to avoid obstacles as well as other robots. This thesis presents a distributed risk-aware motion planning method for multi-robot systems in dynamic environments. For each robot navigating in a multi-robot scenario, two major risk elements...
master thesis 2021
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Surewaard, Bram (author)
With the rapid growth and developments of green technologies certain rare metals are in high demand. These metals are for example required to improve and expand the capacity to store energy and to improve efficiencies of electrically powered vehicles. There are large quantities of those rare metals in the form of polymetallic nodules present in...
master thesis 2021
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Brinkman, Sant (author)
Mobile robots that operate in human environments require the ability to safely navigate among humans and other obstacles. Existing approaches use Deep Reinforcement Learning (DRL) to obtain safe robot behavior in such environments, but do not ensure collision avoidance or trajectory feasibility. This issue is solved by methods combining DRL with...
master thesis 2021
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Heerkens, Evelien (author)
Mobile manipulators will be deployed in supermarkets for a large variety of tasks, for instance, for restocking products. The operation time of mobile manipulators can be reduced by generating coupled trajectories for the base and the robot's arm. When planning for high Degree of Freedom (DOF) robots, such as a mobile manipulator, in an obstacle...
master thesis 2021
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