Results 21 to 30 of about 33,665 (238)
Sparse Robot Swarms: Moving Swarms to Real-World Applications [PDF]
Frontiers in Robotics and AI, 2020 Robot swarms are groups of robots that each act autonomously based on only local perception and coordination with neighboring robots. While current swarm implementations can be large in size (e.g., 1,000 robots), they are typically constrained to working in highly controlled indoor environments.
Tarapore, D., Gross, R., Zauner, K.-P.
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Robot swarming over the Internet [PDF]
2012 American Control Conference (ACC), 2012 This paper considers cooperative control of robots involving two different testbed systems in remote locations with communication on the internet. This provides us the capability to exchange robots status like positions, velocities and directions needed for the swarming algorithm. The results show that all robots properly follow some leader defined one
Ferenc, Will +10 more
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, 2019 Collectively working robot teams can solve a problem more efficiently than a single robot, while also providing robustness and flexibility to the group. Swarm robotics model is a key component of a cooperative algorithm that controls the behaviors and interactions of all individuals.
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Embodied Evolution in Collective Robotics: A Review [PDF]
, 2018 This paper provides an overview of evolutionary robotics techniques applied to on-line distributed evolution for robot collectives -- namely, embodied evolution.
Alba +132 more
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Human Swarm Interaction: An Experimental Study of Two Types of Interaction with Foraging Swarms [PDF]
, 2013 In this paper we present the first study of human-swarm interaction comparing two fundamental types of interaction, coined intermittent and environmental. These types are exemplified by two control methods, selection and beacon control, made available to
Kolling, Andreas +3 more
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Comparison of Selection Methods in On-line Distributed Evolutionary Robotics [PDF]
, 2014 In this paper, we study the impact of selection methods in the context of on-line on-board distributed evolutionary algorithms. We propose a variant of the mEDEA algorithm in which we add a selection operator, and we apply it in a taskdriven scenario. We
Boumaza, Amine +2 more
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Towards adaptive multi-robot systems: self-organization and self-adaptation [PDF]
, 2018 Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence
Albayrak, Sahin +2 more
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Underwater Swarm Robotics [PDF]
, 2016 Underwater swarm robotics today faces a series of challenges unique to its aquatic environment. This chapter explores some possible applications of underwater swarm robotics and its challenges. Those challenges include the environment itself, sensor types required, problems with communication and the difficulty in localisation.
Matthew Joordens, Benjamin Champion
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Combining Blockchain and Swarm Robotics to Deploy Surveillance Missions [PDF]
, 2019 Current swarm robotics systems are not utilized as frequently in surveillance missions due to the limitations of the existing distributed systems\u27 designs.
Razavi, Ardalan
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Cooperative navigation in robotic swarms [PDF]
Swarm Intelligence, 2013 We study cooperative navigation for robotic swarms in the context of a general event-servicing scenario. In the scenario, one or more events need to be serviced at specific locations by robots with the required skills. We focus on the question of how the swarm can inform its members about events, and guide robots to event locations.
Ducatelle Frederick +11 more
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