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Outputs (45)

Distributed Collision-Free Bearing Coordination of Multi-UAV Systems With Actuator Faults and Time Delays (2024)
Journal Article
Wu, K., Hu, J., Li, Z., Ding, Z., & Arvin, F. (2024). Distributed Collision-Free Bearing Coordination of Multi-UAV Systems With Actuator Faults and Time Delays. IEEE Transactions on Intelligent Transportation Systems, 1-14. https://doi.org/10.1109/tits.2024.3364356

Coordination of unmanned aerial vehicle (UAV) systems has received great attention from robotics and control communities. In this paper, we investigate the distributed formation tracking problem in heterogeneous nonlinear multi-UAV networks via beari... Read More about Distributed Collision-Free Bearing Coordination of Multi-UAV Systems With Actuator Faults and Time Delays.

Swarm flocking using optimisation for a self-organised collective motion (2024)
Journal Article
Bahaidarah, M., Rekabi-Bana, F., Marjanovic, O., & Arvin, F. (2024). Swarm flocking using optimisation for a self-organised collective motion. Swarm and Evolutionary Computation, 86, Article 101491. https://doi.org/10.1016/j.swevo.2024.101491

Collective motion, often called flocking, is a prevalent behaviour observed in nature wherein large groups of organisms move cohesively, guided by simple local interactions, as exemplified by bird flocks and fish schools. Inspired by those intelligen... Read More about Swarm flocking using optimisation for a self-organised collective motion.

Decentralized Multi-Agent Coverage Path Planning with Greedy Entropy Maximization (2024)
Conference Proceeding
Champagnie, K., Arvin, F., & Hu, J. (in press). Decentralized Multi-Agent Coverage Path Planning with Greedy Entropy Maximization. In 2024 IEEE International Conference on Industrial Technology (ICIT) (1-6)

In this paper, we present GEM, a novel approach to online coverage path planning in which a swarm of homogeneous agents act to maximize the entropy of pheromone deposited within their environment. We show that entropy maximization (EM) coincides with... Read More about Decentralized Multi-Agent Coverage Path Planning with Greedy Entropy Maximization.

Distributed Bearing-Only Formation Control for Heterogeneous Nonlinear Multi-Robot Systems (2023)
Conference Proceeding
Wu, K., Hu, J., Ding, Z., & Arvin, F. (2023). Distributed Bearing-Only Formation Control for Heterogeneous Nonlinear Multi-Robot Systems. In H. Ishii, Y. Ebihara, J. Imura, & M. Yamakita (Eds.), 22nd IFAC World Congress (3447-3452). https://doi.org/10.1016/j.ifacol.2023.10.1496

This paper addresses the bearing-only formation tracking problem for heterogeneous nonlinear multi-robot systems. In contrast to position and distance-based formation algorithms, the robots can only measure the bearing information from their neighbor... Read More about Distributed Bearing-Only Formation Control for Heterogeneous Nonlinear Multi-Robot Systems.

Organisms as sensors in biohybrid entities as a novel tool for in-field aquatic monitoring (2023)
Journal Article
Rajewicz, W., Wu, C., Romano, D., Campo, A., Arvin, F., Casson, A. J., …Thenius, R. (2024). Organisms as sensors in biohybrid entities as a novel tool for in-field aquatic monitoring. Bioinspiration & Biomimetics, 19(1), Article 015001. https://doi.org/10.1088/1748-3190/ad0c5d

Rapidly intensifying global warming and water pollution calls for more efficient and continuous environmental monitoring methods. Biohybrid systems connect mechatronic components to living organisms and this approach can be used to extract data from... Read More about Organisms as sensors in biohybrid entities as a novel tool for in-field aquatic monitoring.

Unified Robust Path Planning and Optimal Trajectory Generation for Efficient 3D Area Coverage of Quadrotor UAVs (2023)
Journal Article
Rekabi-Bana, F., Hu, J., Krajník, T., & Arvin, F. (2023). Unified Robust Path Planning and Optimal Trajectory Generation for Efficient 3D Area Coverage of Quadrotor UAVs. IEEE Transactions on Intelligent Transportation Systems, https://doi.org/10.1109/tits.2023.3320049

Area coverage is an important problem in robotics applications, which has been widely used in search and rescue, offshore industrial inspection, and smart agriculture. This paper demonstrates a novel unified robust path planning, optimal trajectory g... Read More about Unified Robust Path Planning and Optimal Trajectory Generation for Efficient 3D Area Coverage of Quadrotor UAVs.

Reinforcement learning-based aggregation for robot swarms (2023)
Journal Article
Sadeghi Amjadi, A., Bilaloğlu, C., Turgut, A. E., Na, S., Şahin, E., Krajník, T., & Arvin, F. (2024). Reinforcement learning-based aggregation for robot swarms. Adaptive Behavior, 32(3), 265-281. https://doi.org/10.1177/10597123231202593

Aggregation, the gathering of individuals into a single group as observed in animals such as birds, bees, and amoeba, is known to provide protection against predators or resistance to adverse environmental conditions for the whole. Cue-based aggregat... Read More about Reinforcement learning-based aggregation for robot swarms.

Finite-Time Fault-Tolerant Formation Control for Distributed Multi-Vehicle Networks With Bearing Measurements (2023)
Journal Article
Wu, K., Hu, J., Ding, Z., & Arvin, F. (2023). Finite-Time Fault-Tolerant Formation Control for Distributed Multi-Vehicle Networks With Bearing Measurements. IEEE Transactions on Automation Science and Engineering, https://doi.org/10.1109/tase.2023.3239748

This paper addresses a bearing-only formation tracking problem in robotic networks by considering exogenous disturbances and actuator faults. In contrast to traditional position-based coordination strategies, the bearing-only coordinated movements of... Read More about Finite-Time Fault-Tolerant Formation Control for Distributed Multi-Vehicle Networks With Bearing Measurements.

Federated Reinforcement Learning for Collective Navigation of Robotic Swarms (2023)
Journal Article
Na, S., Roucek, T., Ulrich, J., Pikman, J., Krajnik, T., Lennox, B., & Arvin, F. (2023). Federated Reinforcement Learning for Collective Navigation of Robotic Swarms. IEEE Transactions on Cognitive and Developmental Systems, https://doi.org/10.1109/tcds.2023.3239815

The recent advancement of Deep Reinforcement Learning (DRL) contributed to robotics by allowing automatic controller design. The automatic controller design is a crucial approach for designing swarm robotic systems, which require more complex control... Read More about Federated Reinforcement Learning for Collective Navigation of Robotic Swarms.

Mixed Controller Design for Multi-Vehicle Formation Based on Edge and Bearing Measurements (2022)
Conference Proceeding
Wu, K., Hu, J., Lennox, B., & Arvin, F. (2022). Mixed Controller Design for Multi-Vehicle Formation Based on Edge and Bearing Measurements. In 2022 European Control Conference (ECC). https://doi.org/10.23919/ecc55457.2022.9838436

Inspired by natural swarm collective behaviors such as colonies of bees and schools of fish, coordination strategies in swarm robotics have received significant attention in recent years. In this paper, a mixed formation control design based on edge... Read More about Mixed Controller Design for Multi-Vehicle Formation Based on Edge and Bearing Measurements.

Distributed Motion Planning for Safe Autonomous Vehicle Overtaking via Artificial Potential Field (2022)
Journal Article
Xie, S., Hu, J., Bhowmick, P., Ding, Z., & Arvin, F. (2022). Distributed Motion Planning for Safe Autonomous Vehicle Overtaking via Artificial Potential Field. IEEE Transactions on Intelligent Transportation Systems, 23(11), 21531- 21547. https://doi.org/10.1109/tits.2022.3189741

Autonomous driving of multi-lane vehicle platoons have attracted significant attention in recent years due to their potential to enhance the traffic-carrying capacity of the roads and produce better safety for drivers and passengers. This paper propo... Read More about Distributed Motion Planning for Safe Autonomous Vehicle Overtaking via Artificial Potential Field.

A Minimally Invasive Approach Towards “Ecosystem Hacking” With Honeybees (2022)
Journal Article
Stefanec, M., Hofstadler, D. N., Krajník, T., Turgut, A. E., Alemdar, H., Lennox, B., …Schmickl, T. (2022). A Minimally Invasive Approach Towards “Ecosystem Hacking” With Honeybees. Frontiers in Robotics and AI, 9, Article 791921. https://doi.org/10.3389/frobt.2022.791921

Honey bees live in colonies of thousands of individuals, that not only need to collaborate with each other but also to interact intensively with their ecosystem. A small group of robots operating in a honey bee colony and interacting with the queen b... Read More about A Minimally Invasive Approach Towards “Ecosystem Hacking” With Honeybees.

Fault-tolerant cooperative navigation of networked UAV swarms for forest fire monitoring (2022)
Journal Article
Hu, J., Niu, H., Carrasco, J., Lennox, B., & Arvin, F. (2022). Fault-tolerant cooperative navigation of networked UAV swarms for forest fire monitoring. Aerospace Science and Technology, 123, Article 107494. https://doi.org/10.1016/j.ast.2022.107494

Coordination of unmanned aerial vehicle (UAV) swarms has received significant attention due to its wide practical applications including search and rescue, cooperative exploration and target surveillance. Motivated by the flexibility of the UAVs and... Read More about Fault-tolerant cooperative navigation of networked UAV swarms for forest fire monitoring.

Robust formation control for networked robotic systems using Negative Imaginary dynamics (2022)
Journal Article
Hu, J., Lennox, B., & Arvin, F. (2022). Robust formation control for networked robotic systems using Negative Imaginary dynamics. Automatica, 140, Article 110235. https://doi.org/10.1016/j.automatica.2022.110235

This paper proposes a consensus-based formation tracking scheme for multi-robot systems utilizing the Negative Imaginary (NI) theory. The proposed scheme applies to a class of networked robotic systems that can be modelled as a group of single integr... Read More about Robust formation control for networked robotic systems using Negative Imaginary dynamics.

Bio-Inspired Collision Avoidance in Swarm Systems via Deep Reinforcement Learning (2022)
Journal Article
Na, S., Niu, H., Lennox, B., & Arvin, F. (2022). Bio-Inspired Collision Avoidance in Swarm Systems via Deep Reinforcement Learning. IEEE Transactions on Vehicular Technology, 71(3), 2511-2526. https://doi.org/10.1109/tvt.2022.3145346

Autonomous vehicles have been highlighted as a major growth area for future transportation systems and the deployment of large numbers of these vehicles is expected when safety and legal challenges are overcome. To meet the necessary safety standards... Read More about Bio-Inspired Collision Avoidance in Swarm Systems via Deep Reinforcement Learning.

Drone-Assisted Confined Space Inspection and Stockpile Volume Estimation (2021)
Journal Article
Alsayed, A., Yunusa-Kaltungo, A., Quinn, M. K., Arvin, F., & Nabawy, M. R. (2021). Drone-Assisted Confined Space Inspection and Stockpile Volume Estimation. Remote Sensing, 13(17), Article 3356. https://doi.org/10.3390/rs13173356

The accuracy of stockpile estimations is of immense criticality to process optimisation and overall financial decision making within manufacturing operations. Despite well-established correlations between inventory management and profitability, safe... Read More about Drone-Assisted Confined Space Inspection and Stockpile Volume Estimation.

Omnipotent Virtual Giant for Remote Human–Swarm Interaction (2021)
Conference Proceeding
Jang, I., Hu, J., Arvin, F., Carrasco, J., & Lennox, B. (2021). Omnipotent Virtual Giant for Remote Human–Swarm Interaction. . https://doi.org/10.1109/ro-man50785.2021.9515542

This paper proposes an intuitive human-swarm interaction framework inspired by our childhood memory in which we interacted with living ants by changing their positions and environments as if we were omnipotent relative to the ants. In virtual reality... Read More about Omnipotent Virtual Giant for Remote Human–Swarm Interaction.

Biohybrid Entities for Environmental Monitoring (2021)
Conference Proceeding
Thenius, R., Rajewicz, W., Varughese, J. C., Schoenwetter-Fuchs, S., Arvin, F., Casson, A. J., …Schmickl, T. (2021). Biohybrid Entities for Environmental Monitoring. . https://doi.org/10.1162/isal_a_00366

In the wake of climate change and water quality crisis, it is crucial to find novel ways to extensively monitor the environment and to detect ecological changes early. Biomonitoring has been found to be an effective way of observing the aggregate eff... Read More about Biohybrid Entities for Environmental Monitoring.

Self-Organised Collision-Free Flocking Mechanism in Heterogeneous Robot Swarms (2021)
Journal Article
Ban, Z., Hu, J., Lennox, B., & Arvin, F. (2021). Self-Organised Collision-Free Flocking Mechanism in Heterogeneous Robot Swarms. Mobile Networks and Applications, 26(6), 2461–2471. https://doi.org/10.1007/s11036-021-01785-7

Flocking is a social animals’ common behaviour observed in nature. It has a great potential for real-world applications such as exploration in agri-robotics using low-cost robotic solutions. In this paper, an extended model of a self-organised flocki... Read More about Self-Organised Collision-Free Flocking Mechanism in Heterogeneous Robot Swarms.

A Decentralized Cluster Formation Containment Framework for Multirobot Systems (2021)
Journal Article
Hu, J., Bhowmick, P., Jang, I., Arvin, F., & Lanzon, A. (2021). A Decentralized Cluster Formation Containment Framework for Multirobot Systems. IEEE Transactions on Robotics, 37(6), 1936-1955. https://doi.org/10.1109/tro.2021.3071615

Cooperative control of multirobot systems (MRSs) has earned significant research interest over the past two decades due to its potential applications in multidisciplinary engineering problems. In contrast to a single specialized robot, the MRS can be... Read More about A Decentralized Cluster Formation Containment Framework for Multirobot Systems.

Robust Formation Coordination of Robot Swarms With Nonlinear Dynamics and Unknown Disturbances: Design and Experiments (2021)
Journal Article
Hu, J., Turgut, A. E., Lennox, B., & Arvin, F. (2022). Robust Formation Coordination of Robot Swarms With Nonlinear Dynamics and Unknown Disturbances: Design and Experiments. IEEE Transactions on Circuits and Systems II: Express Briefs, 69(1), 114-118. https://doi.org/10.1109/tcsii.2021.3074705

Coordination of robot swarms has received significant research interest over the last decade due to its wide real-world applications including precision agriculture, target surveillance, planetary exploration, etc. Many of these practical activities... Read More about Robust Formation Coordination of Robot Swarms With Nonlinear Dynamics and Unknown Disturbances: Design and Experiments.

SDP-Based Robust Formation-Containment Coordination of Swarm Robotic Systems with Input Saturation (2021)
Journal Article
Wu, K., Hu, J., Lennox, B., & Arvin, F. (2021). SDP-Based Robust Formation-Containment Coordination of Swarm Robotic Systems with Input Saturation. Journal of Intelligent and Robotic Systems, 102(1), Article 12. https://doi.org/10.1007/s10846-021-01368-4

There are many potential applications of swarm robotic systems in real-world scenarios. In this paper, formation-containment controller design for single-integrator and double-integrator swarm robotic systems with input saturation is investigated. Th... Read More about SDP-Based Robust Formation-Containment Coordination of Swarm Robotic Systems with Input Saturation.

Finite-Time Bearing-Only Formation Tracking of Heterogeneous Mobile Robots With Collision Avoidance (2021)
Journal Article
Wu, K., Hu, J., Lennox, B., & Arvin, F. (2021). Finite-Time Bearing-Only Formation Tracking of Heterogeneous Mobile Robots With Collision Avoidance. IEEE Transactions on Circuits and Systems II: Express Briefs, 68(10), 3316-3320. https://doi.org/10.1109/tcsii.2021.3066555

This brief proposes a bearing-only collision-free formation coordination strategy for networked heterogeneous robots, where each robot only measures the relative bearings of its neighbors to achieve cooperation. Different from many existing studies t... Read More about Finite-Time Bearing-Only Formation Tracking of Heterogeneous Mobile Robots With Collision Avoidance.

A 3-DOF piezoelectric driven nanopositioner: Design, control and experiment (2021)
Journal Article
Li, P., Zhang, D., Lennox, B., & Arvin, F. (2021). A 3-DOF piezoelectric driven nanopositioner: Design, control and experiment. Mechanical Systems and Signal Processing, 155, Article 107603. https://doi.org/10.1016/j.ymssp.2020.107603

In this paper, a novel 3-degree-of-freedom (DOF) nanopositioner was investigated in order to position objects with nanometer scale accuracy. Nanopositioners are used in a variety of real-world applications, e.g. biomedical technology and nanoassembly... Read More about A 3-DOF piezoelectric driven nanopositioner: Design, control and experiment.

Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning (2020)
Journal Article
Hu, J., Niu, H., Carrasco, J., Lennox, B., & Arvin, F. (2020). Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning. IEEE Transactions on Vehicular Technology, 69(12), https://doi.org/10.1109/tvt.2020.3034800

Autonomous exploration is an important application of multi-vehicle systems, where a team of networked robots are coordinated to explore an unknown environment collaboratively. This technique has earned significant research interest due to its useful... Read More about Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning.

Swarm Intelligence and cyber-physical systems: Concepts, challenges and future trends (2020)
Journal Article
Schranz, M., Di Caro, G. A., Schmickl, T., Elmenreich, W., Arvin, F., Şekercioğlu, A., & Sende, M. (2021). Swarm Intelligence and cyber-physical systems: Concepts, challenges and future trends. Swarm and Evolutionary Computation, 60, Article 100762. https://doi.org/10.1016/j.swevo.2020.100762

Swarm Intelligence (SI) is a popular multi-agent framework that has been originally inspired by swarm behaviors observed in natural systems, such as ant and bee colonies. In a system designed after swarm intelligence, each agent acts autonomously, re... Read More about Swarm Intelligence and cyber-physical systems: Concepts, challenges and future trends.

Local Bearing Estimation for a Swarm of Low-Cost Miniature Robots (2020)
Journal Article
Liu, Z., West, C., Lennox, B., & Arvin, F. (2020). Local Bearing Estimation for a Swarm of Low-Cost Miniature Robots. Sensors, 20(11), Article 3308. https://doi.org/10.3390/s20113308

Swarm robotics focuses on decentralised control of large numbers of simple robots with limited capabilities. Decentralised control in a swarm system requires a reliable communication link between the individuals that is able to provide linear and ang... Read More about Local Bearing Estimation for a Swarm of Low-Cost Miniature Robots.

Bio-inspired artificial pheromone system for swarm robotics applications (2020)
Journal Article
Na, S., Qiu, Y., Turgut, A. E., Ulrich, J., Krajník, T., Yue, S., …Arvin, F. (2021). Bio-inspired artificial pheromone system for swarm robotics applications. Adaptive Behavior, 29(4), 395-415. https://doi.org/10.1177/1059712320918936

Pheromones are chemical substances released into the environment by an individual animal, which elicit stereotyped behaviours widely found across the animal kingdom. Inspired by the effective use of pheromones in social insects, pheromonal communicat... Read More about Bio-inspired artificial pheromone system for swarm robotics applications.

Hysteresis Modelling and Feedforward Control of Piezoelectric Actuator Based on Simplified Interval Type-2 Fuzzy System (2020)
Journal Article
Li, P., Zhang, D., Hu, J., Lennox, B., & Arvin, F. (2020). Hysteresis Modelling and Feedforward Control of Piezoelectric Actuator Based on Simplified Interval Type-2 Fuzzy System. Sensors, 20(9), 2587-2599. https://doi.org/10.3390/s20092587

The piezoelectric actuator is indispensable for driving the micro-manipulator. In this paper, a simplified interval type-2 (IT2) fuzzy system is proposed for hysteresis modelling and feedforward control of a piezoelectric actuator. The partial deriva... Read More about Hysteresis Modelling and Feedforward Control of Piezoelectric Actuator Based on Simplified Interval Type-2 Fuzzy System.

Cooperative Control of Heterogeneous Connected Vehicle Platoons: An Adaptive Leader-Following Approach (2020)
Journal Article
Hu, J., Bhowmick, P., Arvin, F., Lanzon, A., & Lennox, B. (2020). Cooperative Control of Heterogeneous Connected Vehicle Platoons: An Adaptive Leader-Following Approach. IEEE Robotics and Automation Letters, 5(2), 977-984. https://doi.org/10.1109/lra.2020.2966412

Automatic cruise control of a platoon of multiple connected vehicles in an automated highway system has drawn significant attention of the control practitioners over the past two decades due to its ability to reduce traffic congestion problems, impro... Read More about Cooperative Control of Heterogeneous Connected Vehicle Platoons: An Adaptive Leader-Following Approach.

The challenges posed by global broadacre crops in delivering smart agri-robotic solutions: A fundamental rethink is required (2019)
Journal Article
Grieve, B. D., Duckett, T., Collison, M., Boyd, L., West, J., Yin, H., …Pearson, S. (2019). The challenges posed by global broadacre crops in delivering smart agri-robotic solutions: A fundamental rethink is required. Global Food Security, 23, 116-124. https://doi.org/10.1016/j.gfs.2019.04.011

Threats to global food security from multiple sources, such as population growth, ageing farming populations, meat consumption trends, climate-change effects on abiotic and biotic stresses, the environmental impacts of agriculture are well publicised... Read More about The challenges posed by global broadacre crops in delivering smart agri-robotic solutions: A fundamental rethink is required.

Advanced motions for hexapods (2019)
Journal Article
Cheah, W., Khalili, H. H., Arvin, F., Green, P., Watson, S., & Lennox, B. (2019). Advanced motions for hexapods. International Journal of Advanced Robotic Systems, 16(2), https://doi.org/10.1177/1729881419841537

Advanced motions, which utilize footholds on walls, offer considerably more opportunities for hexapods in accessing confined environment. However, there has been no research on the practical application of such motions on a hexapod. These motions are... Read More about Advanced motions for hexapods.

Φ Clust: Pheromone-Based Aggregation for Robotic Swarms (2018)
Conference Proceeding
Arvin, F., Turgut, A. E., Krajnik, T., Rahimi, S., Okay, I. E., Yue, S., …Lennox, B. (2018). Φ Clust: Pheromone-Based Aggregation for Robotic Swarms. . https://doi.org/10.1109/iros.2018.8593961

In this paper, we proposed a pheromone-based aggregation method based on the state-of-the-art BEECLUST algorithm. We investigated the impact of pheromone-based communication on the efficiency of robotic swarms to locate and aggregate at areas with a... Read More about Φ Clust: Pheromone-Based Aggregation for Robotic Swarms.

Mona: an Affordable Open-Source Mobile Robot for Education and Research (2018)
Journal Article
Arvin, F., Espinosa, J., Bird, B., West, A., Watson, S., & Lennox, B. (2019). Mona: an Affordable Open-Source Mobile Robot for Education and Research. Journal of Intelligent and Robotic Systems, 94(3-4), 761–775. https://doi.org/10.1007/s10846-018-0866-9

Mobile robots are playing a significant role in Higher Education science and engineering teaching, as they offer a flexible platform to explore and teach a wide-range of topics such as mechanics, electronics and software. Unfortunately the widespread... Read More about Mona: an Affordable Open-Source Mobile Robot for Education and Research.

Perpetual Robot Swarm: Long-Term Autonomy of Mobile Robots Using On-the-fly Inductive Charging (2017)
Journal Article
Arvin, F., Watson, S., Turgut, A. E., Espinosa, J., Krajník, T., & Lennox, B. (2018). Perpetual Robot Swarm: Long-Term Autonomy of Mobile Robots Using On-the-fly Inductive Charging. Journal of Intelligent and Robotic Systems, 92(3-4), https://doi.org/10.1007/s10846-017-0673-8

Swarm robotics studies the intelligent collective behaviour emerging from long-term interactions of large number of simple robots. However, maintaining a large number of robots operational for long time periods requires significant battery capacity,... Read More about Perpetual Robot Swarm: Long-Term Autonomy of Mobile Robots Using On-the-fly Inductive Charging.

Bio-Inspired Embedded Vision System for Autonomous Micro-Robots: The LGMD Case (2016)
Journal Article
Hu, C., Arvin, F., Xiong, C., & Yue, S. (2017). Bio-Inspired Embedded Vision System for Autonomous Micro-Robots: The LGMD Case. IEEE Transactions on Cognitive and Developmental Systems, 9(3), 241-254. https://doi.org/10.1109/tcds.2016.2574624

In this paper, we present a new bio-inspired vision system embedded for micro-robots. The vision system takes inspiration from locusts in detecting fast approaching objects. Neurophysiological research suggested that locusts use a wide-field visual n... Read More about Bio-Inspired Embedded Vision System for Autonomous Micro-Robots: The LGMD Case.

Investigation of cue-based aggregation in static and dynamic environments with a mobile robot swarm (2016)
Journal Article
Arvin, F., Turgut, A. E., Krajník, T., & Yue, S. (2016). Investigation of cue-based aggregation in static and dynamic environments with a mobile robot swarm. Adaptive Behavior, 24(2), 102-118. https://doi.org/10.1177/1059712316632851

Aggregation is one of the most fundamental behaviors and has been studied in swarm robotic researches for more than two decades. Studies in biology have revealed that the environment is a preeminent factor, especially in cue-based aggregation. This c... Read More about Investigation of cue-based aggregation in static and dynamic environments with a mobile robot swarm.

COSΦ: Artificial pheromone system for robotic swarms research (2015)
Conference Proceeding
Arvin, F., Krajnik, T., Turgut, A. E., & Yue, S. (2015). COSΦ: Artificial pheromone system for robotic swarms research. . https://doi.org/10.1109/iros.2015.7353405

Pheromone-based communication is one of the most effective ways of communication widely observed in nature. It is particularly used by social insects such as bees, ants and termites; both for inter-agent and agent-swarm communications. Due to its eff... Read More about COSΦ: Artificial pheromone system for robotic swarms research.

Cue-based aggregation with a mobile robot swarm: a novel fuzzy-based method (2014)
Journal Article
Arvin, F., Turgut, A. E., Bazyari, F., Arikan, K. B., Bellotto, N., & Yue, S. (2014). Cue-based aggregation with a mobile robot swarm: a novel fuzzy-based method. Adaptive Behavior, 22(3), 189-206. https://doi.org/10.1177/1059712314528009

Aggregation in swarm robotics is referred to as the gathering of spatially distributed robots into a single aggregate. Aggregation can be classified as cue-based or self-organized. In cue-based aggregation, there is a cue in the environment that poin... Read More about Cue-based aggregation with a mobile robot swarm: a novel fuzzy-based method.

Colias: An Autonomous Micro Robot for Swarm Robotic Applications (2014)
Journal Article
Arvin, F., Murray, J., Zhang, C., & Yue, S. (2014). Colias: An Autonomous Micro Robot for Swarm Robotic Applications. International Journal of Advanced Robotic Systems, 11(7), https://doi.org/10.5772/58730

Robotic swarms that take inspiration from nature are becoming a fascinating topic for multi-robot researchers. The aim is to control a large number of simple robots in order to solve common complex tasks. Due to the hardware complexities and cost of... Read More about Colias: An Autonomous Micro Robot for Swarm Robotic Applications.