Citation sources

Updated weekly. Details via Crossref

Crossref	Scopus	Google Scholar
19	15	Search

2026	Formation control of swarm robotics: A survey from biological inspirations to design automation methods Robotics and Autonomous Systems Wenji Li, Zhaojun Wang, Chaotao Guan, Chuangbin Chen, Boxi Wang, Pengxiang Ren, Yifeng Qiu, Qinchang Zhang, Haoyu Wang, Dongliang Wang, Jiafan Zhuang, Biao Xu, Zhifeng Hao, Zhun Fan
2025	TreeC: A method to generate interpretable energy management systems using a metaheuristic algorithm Knowledge-Based Systems Julian Ruddick, Luis Ramirez Camargo, Muhammad Andy Putratama, Maarten Messagie, Thierry Coosemans
2025	Effects of specifying robotic missions in behavior trees and state machines Journal of Computer Languages Swaib Dragule, Engineer Bainomugisha, Patrizio Pelliccione, Thorsten Berger
2025	МОДЕЛЮВАННЯ АДАПТИВНОЇ ПОВЕДІНКИ РОЮ БЕЗПІЛОТНИХ ЛІТАЛЬНИХ АПАРАТІВ В АНТАГОНІСТИЧНОМУ СЕРЕДОВИЩІ Наука і техніка Повітряних Сил Збройних Сил України О.М. Компанієць, А.М. Ткачов, Л.В. Компанієць
2025	Automatic Design of Robot Swarms under Concurrent Design Criteria: A Study Based on Iterated F‐Race Advanced Intelligent Systems David Garzón Ramos, Federico Pagnozzi, Thomas Stützle, Mauro Birattari
2024	Transferability in the Automatic Off-Line Design of Robot Swarms: From Sim-to-Real to Embodiment and Design-Method Transfer Across Different Platforms IEEE Robotics and Automation Letters Miquel Kegeleirs, David Garzón Ramos, Ken Hasselmann, Lorenzo Garattoni, Gianpiero Francesca, Mauro Birattari
2024	Enhancing Autonomous Underwater Vehicle Decision Making through Intelligent Task Planning and Behavior Tree Optimization Journal of Marine Science and Engineering Dan Yu, Hongjian Wang, Xu Cao, Zhao Wang, Jingfei Ren, Kai Zhang
2024	Lecture Notes in Electrical Engineering Qidong Liu, Shuai Jin, Hongqi Fan
2023	Recent trends in robot learning and evolution for swarm robotics Frontiers in Robotics and AI Jonas Kuckling
2022	On Using Simulation to Predict the Performance of Robot Swarms Scientific Data Antoine Ligot, Mauro Birattari
2022	Toward an Empirical Practice in Offline Fully Automatic Design of Robot Swarms IEEE Transactions on Evolutionary Computation Antoine Ligot, Andres Cotorruelo, Emanuele Garone, Mauro Birattari
2022	AutoMoDe-Mate: Automatic off-line design of spatially-organizing behaviors for robot swarms Swarm and Evolutionary Computation Fernando J. Mendiburu, David Garzón Ramos, Marcos R.A. Morais, Antonio M.N. Lima, Mauro Birattari
2022	Towards an integrated automatic design process for robot swarms Open Research Europe Darko Bozhinoski, Mauro Birattari
2022	AutoMoDe-Cedrata: Automatic Design of Behavior Trees for Controlling a Swarm of Robots with Communication Capabilities SN Computer Science Jonas Kuckling, Vincent van Pelt, Mauro Birattari
2021	Towards an integrated automatic design process for robot swarms Open Research Europe Darko Bozhinoski, Mauro Birattari
2021	Lecture Notes in Computer Science Jonas Kuckling, Vincent van Pelt, Mauro Birattari
2021	Lecture Notes in Computer Science Jinzhong Li, Ming Cong, Dong Liu, Yu Du
2020	Automatic modular design of robot swarms using behavior trees as a control architecture PeerJ Computer Science Antoine Ligot, Jonas Kuckling, Darko Bozhinoski, Mauro Birattari
	Additional cited-by details will be shown when available from Crossref