Mohammad Divband Soorati

Mohammad Divband Soorati
University of Southampton · Department of Electronics and Computer Science (ECS)

Doctor of Engineering

About

26
Publications
17,001
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176
Citations

Publications

Publications (26)
Article
Full-text available
A key challenge in human–swarm interaction is to design a usable interface that allows the human operators to monitor and control a scalable swarm. In our study, we restrict the interactions to only one-to-one communications in local neighborhoods between UAV-UAV and operator-UAV. This type of proximal interactions will decrease the cognitive compl...
Article
Full-text available
In order to guarantee the quality and the productivity of a production system in a competitive marketplace, it is important to be able anticipate the changes in specifications of products and systems. The time limits in running productions, the complexity of manufacturing systems, and the diversification of components, are the challenges that human...
Preprint
Artificial Neural Networks (ANNs) replaced conventional software systems in various domains such as machine translation, natural language processing, and image processing. So, why do we need an repository for artificial neural networks? Those systems are developed with labeled data and we have strong dependencies between the data that is used for t...
Article
Full-text available
Applying principles of swarm intelligence to the control of autonomous systems in industry can advance our ability to manage complexity in prominent and high-cost sectors—such as transportation, logistics, and construction. In swarm robotics, the exclusive use of decentralized control relying on local communication and information provides the key...
Conference Paper
Deep Neural Networks (DNNs) are increasingly being used as a machine learning solution thanks to the complexity of their architecture and hyperparameters-weights. A drawback is the excessive demand for massive computational power during the training process. Not only as a whole but parts of neural networks can also be in charge of certain functiona...
Article
Full-text available
Biohybrid robotics takes an engineering approach to the expansion and exploitation of biological behaviors for application to automated tasks. Here we identify the construction of living buildings and infrastructure as a high-potential application domain for biohybrid robotics, and review technological advances relevant to its future development. C...
Article
Full-text available
Self-assembly in biology is an inspiration for engineered large-scale multi-modular systems with desirable characteristics, such as robustness, scalability, and adaptivity. Previous works have shown that simple mobile robots can be used to emulate and study self-assembly behaviors. However, many of these studies were restricted to rather static and...
Preprint
Full-text available
Machine learning, especially deep learning has aroused interests of researchers and practitioners for the last few years in development of intelligent systems such as speech, natural language, and image processing. Software solutions based on machine learning techniques attract more attention as alternatives to conventional software systems. In thi...
Article
Full-text available
Deep Neural Networks (DNNs) are increasingly being used as a machine learning solution thanks to the complexity of their architecture and hyperparameters-weights. A drawback is the excessive demand for massive computational power during the training process. Not only as a whole but parts of neural networks can also be in charge of certain functiona...
Preprint
Full-text available
Deep Neural Networks (DNNs) are increasingly being used as a machine learning solution thanks to the complexity of their architecture and hyperparameters-weights. A drawback is the excessive demand for massive computational power during the training process. Not only as a whole but parts of neural networks can also be in charge of certain functiona...
Chapter
Full-text available
For self-assembly, robot swarms can be programmed to form predefined shapes. However, if the swarm is required to adapt the assembled shapes to dynamic features of the environment at runtime, then the shapes’ structures need to be dynamic, too. A prerequisite for adaptation is the exploration and detection of changes followed by appropriate rearran...
Conference Paper
Full-text available
For self-assembly, robot swarms can be programmed to form predefined shapes. However, if the swarm is required to adapt the assembled shapes to dynamic features of the environment at runtime, then the shapes' structures need to be dynamic, too. A prerequisite for adaptation is the exploration and detection of changes followed by appropriate rearran...
Conference Paper
Full-text available
Self-assembly is the aggregation of simple parts into complex patterns as frequently observed in nature. Following this inspiration, creating programmable systems of self-assembly that achieve similar complexity and robustness with robots is challenging. As a role model we pick the growth of natural plants that adapts to environmental conditions an...
Article
Full-text available
Key to our project flora robotica is the idea of creating a bio-hybrid system of tightly coupled natural plants and distributed robots to grow architectural artifacts and spaces. Our motivation with this ground research project is to lay a principled foundation towards the design and implementation of living architectural systems that provide funct...
Technical Report
Full-text available
We develop appropriate architectural representations (modeling methods, simulation and systems of notation) that integrate models of robot mechanics and its control with relevant biological models (e.g., projection of growth, leaf-cover and structural strength models) to support the design, envisioning and evaluation of architectural flora robotica...
Conference Paper
Full-text available
Autonomous self-assembly allows to create structures and scaffolds on demand and automatically. The desired structure may be predetermined or alternatively it is the result of an artificial growth process that adapts to environmental features and to the intermediate structure itself. In a self-organizing and decentralized control approach the robot...
Conference Paper
Full-text available
Self-organized construction with continuous, structured building material, as opposed to modular units, offers new challenges to the robot-based construction process and lends the opportunity for increased flexibility in constructed artifact properties, such as shape and deformation. As an example investigation, we look at continuous filaments orga...
Article
Full-text available
Hybrid societies are self-organizing, collective systems, which are composed of different components, for example, natural and artificial parts (bio-hybrid) or human beings interacting with and through technical systems (socio-technical). Many different disciplines investigate methods and systems closely related to the design of hybrid societies. A...
Conference Paper
Full-text available
Fitness function design is known to be a critical feature of the evolutionary-robotics approach. Potentially, the complexity of evolving a successful controller for a given task can be reduced by integrating a priori knowledge into the fitness function which complicates the comparability of studies in evolutionary robotics. Still, there are only fe...
Conference Paper
Full-text available
The implementation of context-bound tasks at a higher level of abstraction often demands a semantic representation of the environment and the enclosed objects. A fundamental step towards the creation of rich semantic models is the abstraction of information from the raw and oftentimes unordered sensor data. In this work, we introduce a novel method...
Conference Paper
Full-text available
Self-stabilization is the property of a system to transfer itself regardless of the initial state into a legitimate state. Chord as a simple, decentralized and scalable distributed hash table is an ideal showcase to introduce self-stabilization for p2p overlays. In this paper, we present Re-Chord, a self-stabilizing version of Chord. We show, that...
Conference Paper
Full-text available
There are many applications of precise time and time interval in operating modern systems. The accuracy of standard GPS is low due to measurement errors. This paper presents a frequency domain method to increase GPS timing accuracy. This approach models GPS timing errors using its velocity information. External sensors are not employed to reduce GP...

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Projects

Projects (3)
Project
The aim of this project is to understand the contextual factors and technical approaches underlying trustworthy human-swarm teams. The project will draw on co-creation with partners and potential users to generate potential use cases and operator-centred requirements. AI-based algorithms will be used to estimate the swarm state and recommend control actions to the human operators in extreme environments.
Archived project
better performance and new methods
Project
flora robotica is a 4 year project funded under the EU-Horizon 2020 Future and Emerging Technologies Proactive Action. The project runs from April 2015 – March 2019. The project’s objective is to develop and investigate closely linked symbiotic relationships between robots and natural plants and to explore the potentials of a plant-robot society able to produce architectural artifacts and living spaces. flora robotica responds to the work-programme theme ‘Knowing, doing and being: cognition beyond problem solving’, the goal of which is to establish new foundations for future robotics and other artificial cognitive systems with clear progress beyond current capabilities and design concepts. The project assembles a highly cross disciplinary team drawn from the fields of Computer Science, Robotics, Molecular and Cellular Biology, Zoology, Advanced Mechatronics & Environmental Sensing and Architecture.