@conference {Liang2022,
	title = {Energy Sharing Mechanism for a Freeform Robotic System - FreeBOT},
	booktitle = {2022 International Conference on Robotics and Automation (ICRA)},
	year = {2022},
	pages = {4232{\textendash}4238},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Philadelphia, PA, USA},
	abstract = {Energy sharing in modular self-reconfigurable robots ensures the energy balance of the modules, thus allowing the system to work sustainably. This paper proposes an energy sharing mechanism for a novel modular self-reconfigurable robot that allows free connections among modules, termed as FreeBOT, such that each FreeBOT can share energy with peers through surface contact. Corresponding energy sharing rules are proposed to achieve an energy sharing network structure without invalid components. As alternative choices, several types of networks subjected to the above requirements are provided, which also maximize the number of FreeBOTs joining to share energy. We implement and test the prototype of the energy sharing mechanism on FreeBOT. The experimental results show that the mechanism can effectively achieve energy sharing among FreeBOTs.},
	keywords = {Automation, Prototypes, Robots},
	isbn = {978-1-7281-9682-4},
	doi = {10.1109/ICRA46639.2022.9811860},
	author = {Guanqi Liang and Yuxiao Tu and Lijun Zong and Junfeng Chen and Tin Lun Lam}
}
@conference {10.1145/3377929.3398078,
	title = {Evolutionary Stress Factors for Adaptable Robot {\textquoteright}Personalities{\textquoteright}},
	booktitle = {Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion},
	year = {2020},
	pages = {1387{\textendash}1388},
	publisher = {Association for Computing Machinery},
	organization = {Association for Computing Machinery},
	abstract = {Many studies on real multi-robot systems are undertaken in laboratory environments, whereas the outside world is unstable and risky. I argue that the phenomenon of phenotypic plasticity provides a bioinspiration framework for making such systems more resilient in the field. Such plasticity can result in consistent individual behavioural differences among group members, which have been described as {\textquoteright}personalities{\textquoteright} in recent years. Personality axes such as shy-bold can be represented by single variables, and may be intuitive in the context of human-robot interaction. However, for plasticity to emerge in artificial evolution, simulated environments need to be more heterogeneous and unpredictable, as in real-world natural history. Behavioral Reaction Norms (BRNs) from developmental biology are a useful concept for the transparent mapping of relevant sensory inputs to robot behavioral change. In this position paper, I identify candidate stress factors in simulated environments for artificial evolution of adaptive BRNs. I also consider some potential benefits and costs of this approach.},
	keywords = {field robotics, personality, phenotypic plasticity, reaction norms},
	isbn = {9781450371278},
	doi = {10.1145/3377929.3398078},
	url = {https://doi.org/10.1145/3377929.3398078},
	author = {Edmund R Hunt}
}
@article {412,
	title = {Exploration and Mapping with Groups of Robots: Recent Trends},
	journal = {Current Robotics Reports},
	year = {2020},
	month = {Sep-09-2020},
	abstract = {Purpose of Review
Multi-robot exploration{\textemdash}i.e., the problem of mapping unknown features of an environment{\textemdash}is fundamental in many tasks, including search and rescue, planetary exploration, and environmental monitoring. This article surveys recent literature with the aim at identifying current research trends, open challenges, and future directions.

Recent Findings
Since the first formalization of the exploration problem, current research has extended systems and algorithms to map 3D environments and more complex phenomena and considered real-world constraints. Deep learning-based approaches have seen some preliminary applications in decision-making.

Summary
While current research has been progressing towards systems that can work in the real world, long-term exploration in large unstructured environments with complex phenomena to map is still an open problem. This introduces opportunities for exciting research, including but not limited to generalized frameworks that bridge the gap between theory and practice, learning-based approaches, and robustness to failure and attacks, so that robots can be deployed safely in real-world environments.},
	keywords = {Exploration, Mapping, Multi-robot systems},
	doi = {10.1007/s43154-020-00030-5},
	url = {http://link.springer.com/10.1007/s43154-020-00030-5},
	author = {Quattrini~Li, Alberto}
}
@conference {420,
	title = {Experimental Analysis of Radio Communication Capabilities of Multiple Autonomous Surface Vehicles},
	booktitle = {OCEANS 2018 MTS/IEEE Charleston},
	year = {2018},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Charleston, SC},
	doi = {10.1109/OCEANS.2018.8604713},
	url = {https://ieeexplore.ieee.org/document/8604713},
	author = {Malebary, Sharaf and Moulton, Jason and Quattrini~Li, Alberto and Rekleitis, Ioannis}
}
@article {nair2017event,
	title = {Event-Triggered Finite-Time Integral Sliding Mode Controller for Consensus-Based Formation of Multirobot Systems With Disturbances},
	journal = {IEEE Transactions on Control Systems Technology},
	number = {99},
	year = {2017},
	pages = {1{\textendash}9},
	publisher = {IEEE},
	author = {Nair, Ranjith Ravindranathan and Behera, Laxmidhar and Kumar, Swagat}
}
@article {172,
	title = {Enforcing Network Connectivity in Robot Team Missions},
	journal = {The International Journal of Robotics Research},
	volume = {29},
	year = {2010},
	pages = {460-480},
	abstract = {The growing interest in robot teams for surveillance or rescue missions entails new technological challenges. Robots have to move to complete their tasks while maintaining communication among themselves and with their human operators, in many cases without the aid of a communication infrastructure. Guaranteeing connectivity enables robots to explicitly exchange information needed in collaborative task execution, and allows operators to monitor or manually control any robot at all times. Network paths should be multi-hop, so as not to unnecessarily restrict the team{\textquoteright}s range. In this work we contribute a complete system which integrates three research aspects, usually studied separately, to achieve these characteristics: a multi-robot cooperative motion control technique based on a virtual spring{\textemdash}damper model which prevents communication network splits, a task allocation algorithm that takes advantage of network link information in order to ensure autonomous mission completion, and a network layer which works over wireless 802.11 devices, capable of sustaining hard real-time traffic and changing topologies. Link quality among peers is the key metric used to cooperatively move the robots and maintain uninterrupted connectivity, and the basis for novel ideas presented in each subsystem. Simulations and experimental results with real robots are presented and discussed.},
	doi = {10.1177/0278364909358274},
	url = {http://ijr.sagepub.com/content/29/4/460.abstract},
	author = {Tardioli, D. and Mosteo, A.R. and Riazuelo, L. and Villarroel, J.L. and Montano, L.}
}
@conference {186,
	title = {Efficient Bids on Task Allocation for Multi-Robot Exploration},
	booktitle = {Proceedings of The 19th International Florida Artificial Intelligence Research Society Conference (FLAIRS)},
	year = {2006},
	author = {Sanem Sariel and Tucker Balch}
}
@inbook {183,
	title = {Empirical Evaluation of Auction-Based Coordination of AUVs in a Realistic Simulated Mine Countermeasure Task},
	booktitle = {Distributed Autonomous Robotic Systems 7},
	year = {2006},
	pages = {197-206},
	publisher = {Springer},
	organization = {Springer},
	isbn = {978-4-431-35878-7},
	doi = {10.1007/4-431-35881-1_19},
	url = {http://dx.doi.org/10.1007/4-431-35881-1_19},
	author = {Sanem Sariel and Tucker Balch and Jason Stack},
	editor = {Gini, Maria and Voyles, Richard}
}
