ROBOtic Replicants for Optimizing the Yield by Augmenting Living Ecosystems

Informazioni relative al progetto

RoboRoyale

ID dell’accordo di sovvenzione: 964492

DOI

10.3030/964492

Data della firma CE 20 Gennaio 2021

Data di avvio 1 Novembre 2021

Data di completamento 31 Ottobre 2026

Finanziato da

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Costo totale

€ 3 269 938,75

Contributo UE

€ 3 269 938,75

Coordinato da

UNIVERSITY OF DURHAM
United Kingdom

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (4)

Specification and evaluation of robot prototypes
Dissemination, communication and exploitation plans

Dissemination communication and exploitation plans

Report on Seminar 2 & Workshop 2: Modeling of biohybrid entities
Report on Seminar 1 & Workshop 1: Robot-bees interaction and impacts

Websites, patent fillings, videos etc. (1)

Establishing public online presence

Open Research Data Pilot (1)

Data and code management plans

Pubblicazioni

Peer reviewed articles (14)

Swarm flocking using optimisation for a self-organised collective motion

Autori: Bahaidarah, M., Rekabi-Bana, F., Marjanovic, O., Arvin, F.
Pubblicato in: Swarm and Evolutionary Computation, Numero 86, 2024, ISSN 2210-6502
Editore: Elsevier BV
DOI: 10.1016/j.swevo.2024.101491

Autonomous tracking of honey bee behaviors over long-term periods with cooperating robots

Autori: Jiří Ulrich, Martin Stefanec, Fatemeh Rekabi-Bana, Laurenz Alexander Fedotoff, Tomáš Rouček, Bilal Yağız Gündeğer, Mahmood Saadat, Jan Blaha, Jiří Janota, Daniel Nicolas Hofstadler, Kristin
Pubblicato in: Science Robotics, Numero 9, 2024, ISSN 2470-9476
Editore: American Association for the Advancement of Science (AAAS)
DOI: 10.1126/scirobotics.adn6848

Robust formation control for networked robotic systems using Negative Imaginary dynamics

Autori: Junyan Hu, Barry Lennox, Farshad Arvin
Pubblicato in: Automatica, Numero 140,June 2022, 2022, Pagina/e 110235, ISSN 0005-1098
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2022.110235

Fault-tolerant cooperative navigation of networked UAV swarms for forest fire monitoring

Autori: Junyan Hu, Hanlin Niu, Joaquin Carrasco, Barry Lennox, Farshad Arvin
Pubblicato in: Aerospace Science and Technology, Numero 123, 2022, Pagina/e 107494, ISSN 1270-9638
Editore: Elsevier BV
DOI: 10.1016/j.ast.2022.107494

On the movement of the honeybee queen in the hive

Autori: Jan Blaha, Martin Stefanec, Jiří Janota, Daniel Nicolas Hofstadler, Tomáš Rouček, Jiří Ulrich, Laurenz Alexander Fedotoff, George Broughton, Tomáš Vintr, Farshad Arvin, Thomas Schmickl, Tomá
Pubblicato in: Scientific Reports, Numero 15, 2025, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-025-07093-4

A Minimally Invasive Approach Towards “Ecosystem Hacking” With Honeybees

Autori: Stefanec Martin, Hofstadler Daniel N., Krajník Tomáš, Turgut Ali Emre, Alemdar Hande, Lennox Barry, Şahin Erol, Arvin Farshad, Schmickl Thomas
Pubblicato in: Frontiers in Robotics and Ai, Numero 9, 28 April 2022, 2022, Pagina/e 791921., ISSN 2296-9144
Editore: Frontiers
DOI: 10.3389/frobt.2022.791921

Real time fiducial marker localisation system with full 6 DOF pose estimation

Autori: Ulrich, J., Alsayed, A., Arvin, F., Krajnik, T.
Pubblicato in: ACM SIGAPP Applied Computing Review, 2023, ISSN 1559-6915
Editore: ACM
DOI: 10.1145/3594264.3594266

Bio-inspired Collision Avoidance in Swarm Systems via Deep Reinforcement Learning

Autori: Seongin Na, Hanlin Niu, Barry Lennox, Farshad Arvin
Pubblicato in: IEEE Transactions on Vehicular Technology, Numero 71(3), March 2022, 2022, Pagina/e 2511-2526, ISSN 0018-9545
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tvt.2022.3145346

Federated Reinforcement Learning for Collective Navigation of Robotic Swarms

Autori: Seongin Na Tomáš Rouček Jiří Ulrich Jan Pikman Tomáš Krajník Barry Lennox Farshad Arvin
Pubblicato in: IEEE Transactions on Cognitive and Developmental Systems, 2023, ISSN 2379-8939
Editore: IEEE
DOI: 10.1109/tcds.2023.3239815

Unified Robust Path Planning and Optimal Trajectory Generation for Efficient 3D Area Coverage of Quadrotor UAVs

Autori: Rekabi-Bana, F., Hu, J., Krajník, T., Arvin, F.
Pubblicato in: IEEE Transactions on Intelligent Transportation Systems, Numero 25(3), 2023, Pagina/e 2492-2507, ISSN 1558-0016
Editore: IEEE
DOI: 10.1109/tits.2023.3320049

Robust Vibration Attenuation for Autonomous Robotic Observation Systems

Autori: Fatemeh Rekabi-Bana, Mahmood Saadat, Martin Stefanec, Tomáš Vintr, Honghao Pan, Mohsen Zahmatkesh, Tomáš Krajník, Thomas Schmickl, Farshad Arvin
Pubblicato in: IFAC-PapersOnLine, Numero 59, 2025, Pagina/e 251-256, ISSN 2405-8963
Editore: Elsevier BV
DOI: 10.1016/j.ifacol.2025.10.172

Distributed collision-free bearing coordination of multi-UAV systems with actuator faults and time delays

Autori: Wu, K., Hu, J., Li, Z., Ding, Z., Arvin, F.
Pubblicato in: IEEE Transactions on Intelligent Transportation Systems, 2024, ISSN 1558-0016
Editore: IEEE
DOI: 10.1109/tits.2024.3364356

Animal–robot interaction—an emerging field at the intersection of biology and robotics

Autori: Donato Romano, Maurizio Porfiri, Payam Zahadat, Thomas Schmickl
Pubblicato in: Bioinspiration & Biomimetics, Numero 19, 2024, Pagina/e 020201, ISSN 1748-3182
Editore: Institute of Physics Publishing
DOI: 10.1088/1748-3190/ad2086

Evolutionary optimization for risk-aware heterogeneous multi-agent path planning in uncertain environments

Autori: Fatemeh Rekabi Bana, Tomáš Krajník, Farshad Arvin
Pubblicato in: Frontiers in Robotics and AI, Numero 11, 2024, ISSN 2296-9144
Editore: Frontiers Media SA
DOI: 10.3389/frobt.2024.1375393

Conference proceedings (14)

A Vision-based System for Social Insect Tracking

Autori: Kristi Žampachů, Jiří Ulrich, Tomáš Rouček, Martin Stefanec, Dominik Dvořáček, Laurenz Fedotoff, Daniel Nicolas Hofstadler, Fatemeh Rekabi-Bana, George Broughton, Farshad Arvin, Thomas Schmi
Pubblicato in: 2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI), 2024, Pagina/e 277-283
Editore: IEEE
DOI: 10.1109/raai56146.2022.10092977

Morphing Swarm Coordination for Autonomous Queen Tracking in Complex Hive Environments

Autori: Mazen Bahaidarah, Mohsen Zahmatkesh, Hang Wang, Ognjen Marjanovic, Fatemeh Rekabi-Bana, Ali Emre Turgut, Farshad Arvin
Pubblicato in: 2025 IEEE International Conference on Mechatronics and Automation (ICMA), 2025, Pagina/e 688-693
Editore: IEEE
DOI: 10.1109/icma65362.2025.11120808

Self-supervised learning for fusion of IR and RGB images in visual teach and repeat navigation

Autori: Liu, X., Rozsypalek, Z., Krajnik, T.
Pubblicato in: European Conference on Mobile Robots, 2023
Editore: ECMR
DOI: 10.1109/ecmr59166.2023.10256333

Toward Perpetual Occlusion-Aware Observation of Comb States in Living Honeybee Colonies

Autori: Jan Blaha, Tomáš Vintr, Jan Mikula, Jiří Janota, Tomáš Rouĉek, Jiří Ulrich, Fatemeh Rekabi-Bana, Laurenz Alexander Fedotoff, Martin Stefanec, Thomas Schmickl, Farshad Arvin, Miroslav Kulich,
Pubblicato in: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024, Pagina/e 5948-5955
Editore: IEEE
DOI: 10.1109/iros58592.2024.10801380

Effective Searching for the Honeybee Queen in a Living Colony

Autori: Jan Blaha, Jan Mikula, Tomáš Vintr, Jiří Janota, Jiří Ulrich, Tomáš Rouček, Fatemeh Rekabi-Bana, Laurenz Alexander Fedotoff, Martin Stefanec, Thomas Schmickl, Farshad Arvin, Miroslav Kulich,
Pubblicato in: 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), 2024, Pagina/e 3675-3682
Editore: IEEE
DOI: 10.1109/case59546.2024.10711366

Towards Robotic Mapping of a Honeybee Comb

Autori: Jiří Janota, Jan Blaha, Fatemeh Rekabi-Bana, Jiří Ulrich, Martin Stefanec, Laurenz Fedotoff, Farshad Arvin, Thomas Schmickl, Tomáš Krajník
Pubblicato in: 2024 International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS), 2024, Pagina/e 1-6
Editore: IEEE
DOI: 10.1109/marss61851.2024.10612712

Towards an Embodied Biohybrid Robotic Platform for Interaction with Honeybees

Autori: Hang Wang, Mohsen Zahmatkesh, Martin Stefanec, Ali Emre Turgut, Jiri Ulrich, Tomas Krajnik, Farshad Arvin
Pubblicato in: 2025 IEEE International Conference on Mechatronics and Automation (ICMA), 2025, Pagina/e 322-327
Editore: IEEE
DOI: 10.1109/icma65362.2025.11120734

The Queen and her Robotic Court: A Minimally-Invasive Form of Ecosystem Hacking

Autori: Thomas Schmickl, Martin Stefanec, Daniel Niclas Hofstadler, Tomas Krajnik, Ali Emre Turgut, Farshad Arvin
Pubblicato in: The 5th Annual Science Fiction Prototyping Conference (SciFi-It'2021), Numero April 14-16, 2021, 2021
Editore: EUROSIS-ETI

Towards fast fiducial marker with full 6 DOF pose estimation

Autori: Jiří Ulrich, Ahmad Alsayed, Farshad Arvin, Tomáš Krajník
Pubblicato in: ACM Symposium on Applied Computing, Numero April 2022, 2022
Editore: ACM
DOI: 10.1145/3477314.3507043

Active Vibration Reduction for the Autonomous Observation Mechanism

Autori: Fatemeh Rekabi-Bana, Mahmood Saadat, Nahid Kalantaryardebily, Martin Stefanec, Laurenz A. Fedotoff, Honghao Pan, Tomáš Krajník, Thomas Schmickl, Farshad Arvin
Pubblicato in: 2024 IEEE Conference on Control Technology and Applications (CCTA), 2024, Pagina/e 805-810
Editore: IEEE
DOI: 10.1109/ccta60707.2024.10666576

Robotic Replicants for Improving Queen Bee Health and Persistence of the Honey Bee Colony

Autori: Hande Alemdar, Okan Can Arslan, Farshad Arvin, Georgre Broughton, Dominik Dvořáček, Babür Erdem, Oğuz Gödelek, Bilal Yağız Güderer, Mustafa Yavuz Kara, Erhan Ege Keyvan, Tomáš Krajník, Fatemeh Rekabi Bana, Tomáš Rouček, Erol Şahin, Thomas Schmickl, Martin Stefanec, Muhammad Suleman, Ali Emre Turgut, Jiří Ulrich, Kristi Žampachů
Pubblicato in: 47th Apimondia Congress, Numero 24 - 28 August 2022, 2022
Editore: apimondia

Distributed bearing-only formation control for heterogeneous nonlinear multi-robot systems

Autori: Wu, K., Hu, J., Ding, Z., Arvin, F.
Pubblicato in: IFAC-PapersOnLine, Numero 56(2), 2023, Pagina/e 3447-3452, ISSN 2405-8963
Editore: Elsevier
DOI: 10.1016/j.ifacol.2023.10.1496

Mechatronic design for multi robots-insect swarms interactions

Autori: Rekabi-Bana, F., Stefanec, M., Ulrich, J., Keyvan, E. E., Rouček, T., Broughton, G., Gündeǧer, B. Y., Sahin, Ö., Turgut, A. E., Şahin, E., Krajník, T., Schmickl, T., Arvin, F.
Pubblicato in: IEEE International Conference on Mechatronics, 2023
Editore: IEEE
DOI: 10.1109/icm54990.2023.10102026

Decentralized Multi-Agent Coverage Path Planning with Greedy Entropy Maximization

Autori: Kale Champagnie, Farshad Arvin, Junyan Hu
Pubblicato in: 2024 IEEE International Conference on Industrial Technology (ICIT), 2024, Pagina/e 1-6
Editore: IEEE
DOI: 10.1109/icit58233.2024.10540869

Thesis and dissertations (6)

Visual analysis of beehive queen behaviour

Autori: Kristi Zampachu
Pubblicato in: 2022
Editore: CVUT

Analysis of the Honeybee Queen Cell Inspection Behavior using Machine Learning-Enhanced Data Labeling

Autori: Benjamin Hirschbok
Pubblicato in: 2025
Editore: UNI GRAZ ONLINE

Classifying the Queen's Behavior: A Data-Driven and CNN-Based Approach to Analyzing the Honey Bee Queen's Oviposition Behavior

Autori: Laurenz Alexander Fedotoff
Pubblicato in: 2025
Editore: UNI GRAZ ONLINE

Automatic analysis of worker bee behavior in the vicinity of the honeybee queen

Autori: Dominik Dvoracek
Pubblicato in: 2022
Editore: CVUT

Fiducial marker-based multiple camera localisation system

Autori: Jiri Ulrich
Pubblicato in: 2022
Editore: CVUT

Seasonal Dynamics in Honeybee Queen Feeding Behavior

Autori: Koller, Nicole
Pubblicato in: 2025
Editore: UNI GRAZ ONLINE