Swarm robotics: a review from the swarm engineering perspective

By Manuele Brambilla, Eliseo Ferrante, Mauro Birattari, Marco Dorigo. Swarm Intelligence, 2013

1,765 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Science Applications, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/7793416bbf1916d59af727e0b34e780d6477fcfb

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In Computer Networks and Communications

In Computer Science Applications

In Mechanical Engineering

Citations in the corpus

Blockchain for AI: Review and Open Research Challenges (2019, background): “[45] outline the nature of swarm robots to purview the objective and to record the key information about the discovery such as the location of the discovered object, time, date, etc.”
A Survey on Aerial Swarm Robotics (2018, background): “swarms [2], we emphasize swarms of aerial robots flying in a 3-D world.”
Swarm Robotics: Past, Present, and Future (2021, background): “literature is beyond the scope of this perspective (but see [42]–[46]).”
Human Interaction With Robot Swarms: A Survey (2016, background): “Some swarm robotics surveys that discuss the need for HSI research [6], [5] desire such a local interaction scheme in order not to interfere with the distributed design of swarms.”
Active Particles in Complex and Crowded Environments (2016, background): “, 2011), robotics (Brambilla et al., 2013), social transport (Helbing, 2001), soft matter (Marchetti et al.”
Near-Optimal Reinforcement Learning with Self-Play (2020, background): “Multi-agent RL has achieved significant recent success on traditionally challenging tasks, for example in the game of GO [30, 31], Poker [6], real-time strategy games [33, 22], decentralized controls or multiagent robotics systems [5], autonomous driving [27], as well as complex social scenarios suc”
Swarm Robotic Behaviors and Current Applications (2020, methodology): “It is based on the classiﬁcation by Brambilla et al. (2013) which we extended by several categories.”
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach (2017, background): “Our work is also related to swarm robotics [Brambilla et al., 2013], as it learns simple rules aimed to design robust, scalable and flexible collective behaviors for coordinating a large number of agents or robots.”
A review of swarm robotics tasks (2016, background): “[12], who proposed two taxonomies for swarm robotics studies: methods and collective behaviors.”