Searched for: subject%3A%22Swarm%255C+Robotics%22
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Ariana, Ramin (author)
Swarm robotics (SR) is an emerging field of research that utilizes a swarm of robots that work together as a team to solve complex problems. One such challenge in SR is the exploration of unknown environments to find multiple targets. This problem finds applications in various domains, such as archaeology, underground exploration, signal source...
master thesis 2023
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Lorenzo Bagasni Worang, Lorenzo (author)
This project was focused on designing and prototyping a mobile robotic builder using additive manufacturing. This robotic builder is meant to be a part of a larger fleet of robotic builders that use swarm based strategies to build structures using simple behavioral rules. The concept was inspired by the biological phenomenon that are termites,...
master thesis 2023
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Lieveloo, Jeroen (author)
Automation in the form of swarm robots is an increasingly feasible opportunity for solving complex physical problems. However, how such a swarm is to be instructed and controlled is one of the many topics that requires further research. For this, we can look to nature for inspiration, as there are many nest building swarms. Perhaps the most...
master thesis 2023
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Jarne Ornia, D. (author)
Besides facing the same challenges as single-agent systems, the distributed nature of complex multi-agent systems sparks many questions and problems revolving around the constraints imposed by communication. The idea that multi-agent systems require communication to access information, to coordinate or simply to sense the environment they are...
doctoral thesis 2023
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van den Berg, Rob (author)
The problem of finding a target and forming a path to it is known and is well-explored in the field of swarm robotics. Using swarm intelligence, even swarms of simple robots are capable of solving this problem. However, often these works assume that two robots can perceive each other can physically reach each other, or that robots can detect any...
master thesis 2023
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Adams, S.J.L. (author), Jarne Ornia, D. (author), Mazo, M. (author)
We present a biologically inspired design for swarm foraging based on ant’s pheromone deployment, where the swarm is assumed to have very restricted capabilities. The robots do not require global or relative position measurements and the swarm is fully decentralized and needs no infrastructure in place. Additionally, the system only requires...
journal article 2023
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van der Horst, Casper (author)
For my Master’s thesis, I developed and trained an audio-based localization system for indoor localization called AudioLocNet. AudioLocNet is based on convolutional neural networks and maps recordings from a small(10cm diameter) microphone array to a grid of locations around said array. AudioLocNet was made to be used by swarms of small robots...
master thesis 2022
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Deaconu, Sebastian (author)
This paper analyzes how flocking behavior in fish can be used to develop target protection algorithms. This starts from the hypothesis that fish aggregate into coordinated flocks in order to protect themselves from predatory attacks. In order to test the protection capabilities of fish, a Prey-Predator instance is developed in which faults are...
bachelor thesis 2022
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Pfeiffer, S.U. (author), Munaro, Veronica (author), Li, S. (author), Rizzo, Alessandro (author), de Croon, G.C.H.E. (author)
Relative localization is a key capability for autonomous robot swarms, and it is a substantial challenge, especially for small flying robots, as they are extremely restricted in terms of sensors and processing while other robots may be located anywhere around them in three-dimensional space. In this article, we generalize wireless ranging...
journal article 2022
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Li, S. (author)
In the last decade, the research field of aerial swarms has grown at a rapid pace. These multi-robot systems possess desirable abilities including mobility in 3D spaces, efficient task execution in parallel, and redundant characteristics for fault tolerance. Many applications with multiple flying robots have already been demonstrated, such as...
doctoral thesis 2021
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Hop, Lucas (author)
Persistent surveillance is the act of covering an environment persistently, as fast as possible. By exploiting the intelligence of the swarm, it is possible to create a swarm robotic persistent surveillance method that can deal with unknown dynamic environments without the need for complex computations or excessive storage. Using stigmergy,...
master thesis 2021
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Coppola, M. (author)
The paradigm of swarm robotics aims to enable several independent robots to collaborate together toward collective goals. The distributed nature of a swarm, whereby each robot acts independently in accordance with its perceived environment, is expected to provide the system with a high degree of flexibility, robustness, and scalability. However,...
doctoral thesis 2021
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Syriani, Thierry (author)
In a quest to breathe new life into public spaces and engage with its today’s increasingly (inter-)connected users, robotic architectural components seem to open up possibilities to give agency to building component. A new field of research has been involving multi-agent robotic systems in the architectural design and/or fabrication process....
master thesis 2020
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Jarne Ornia, D. (author), Mazo, M. (author)
Ant Colony algorithms are a set of biologically inspired algorithms used commonly to solve distributed optimization problems. Convergence has been proven in the context of optimization processes, but these proofs are not applicable in the framework of robotic control. In order to use Ant Colony algorithms to control robotic swarms, we present...
conference paper 2020
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Ligot, Antoine (author), Kuckling, Jonas (author), Bozhinoski, D. (author), Birattari, Mauro (author)
We investigate the possibilities, challenges, and limitations that arise from the use of behavior trees in the context of the automatic modular design of collective behaviors in swarm robotics. To do so, we introduce Maple, an automatic design method that combines predefined modules—low-level behaviors and conditions— into a behavior tree that...
journal article 2020
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McGuire, K.N. (author)
Pocket drones, weighing less than 50 grams, are small, agile and inherently safe. This makes them suitable for several surveillance tasks such as search and rescue, green-house monitoring and pipe-line inspection. In order for a more efficient search, a swarm of pocket drones would be ideal to explore these types of areas faster. Current methods...
doctoral thesis 2019
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Durieux, Bram (author)
The extraordinary capability of swarming ant species in route finding and foraging efficiency through trail trail development has been studied for many years. Scientists have been able to capture the behavior of individual ants in control algorithms and used the resulting artificial swarm of ants to solve difficult problems. These problems...
master thesis 2019
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ter Horst, Thijs (author)
A robot swarm of zebros (Dutch: ZEs Benige RObots) is being developed at the TU Delft, with the purpose of forming a large self-deploying sensor network that survey remote locations without the need for any pre-existing infrastructure, or be used for evaluating swarming algorithms in the field. Towards this goal, zebros need to be able to...
master thesis 2019
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Coppola, M. (author), Guo, J. (author), Gill, E.K.A. (author), de Croon, G.C.H.E. (author)
This work proposes PageRank as a tool to evaluate and optimize the global performance of a swarm based on the analysis of the local behavior of a single robot. PageRank is a graph centrality measure that assesses the importance of nodes based on how likely they are to be reached when traversing a graph. We relate this, using a microscopic...
journal article 2019
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de Groot, Jurriaan (author)
Nature has found many interesting solutions to similar problems that we face with robots. Swarming in robotics is an interesting field to reduce cost and risk, and provide a scalable solution to certain problems. The Zebro Project of the TU Delft performs research in the field of swarm robotics using the six legged robot, called a Zebro. Swarm...
master thesis 2017
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