Cooperative transport by ants and robots

By C. Ronald Kube, Eric Bonabeau. 2000

498 citations recorded by the source corpus.

Subfields: Genetics, Mechanical Engineering, Sociology and Political Science

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In Mechanical Engineering

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Citations in the corpus

Guided Deep Reinforcement Learning for Swarm Systems (2017, background): “Kube et al [6], for example, investigate cooperative prey retrieval of ants to infer rules on how a swarm of robots can fulﬁll the task of cooperative box-pushing.”
Swarm Intelligence in Optimization (2008, background): “In [96] the collective transport of ants inspired the design of controllers of robots for doing coordinated work.”
A survey of socially interactive robots (2003, background): “Collective box-pushing [88].”
Multirobot systems: a classification focused on coordination (2004, background): “Grassé which means to incite work by the effect of previous work [23].”
Swarm robotics: a review from the swarm engineering perspective (2013, unknown): “Swarm Intell”
A review of swarm robotics tasks (2016, background): “In [135], the goal location is identified by a light source, and robots are able to move the box to its goal by pushing it only if they sense the light emitted by the goal with their frontal sensors, and repositioning themselves otherwise.”
Teamwork in Self-Organized Robot Colonies (2009, unknown): “, [9], [44], [45], [68], [77], [79], [82]).”
Self-Organized Coordinated Motion in Groups of Physically Connected Robots (2007, background): “pects such as decentralization of control, local and simple communication among robots, emergence of global behavior, and robustness [4], [5], [6], [7], [8], [9], [10], [11].”
A Survey and Analysis of Multi-Robot Coordination (2013, unknown): “Using a MRS can have several potential advantages over a single-robot system:  A MRS has a better spatial distribution.”
Local Communication Protocols for Learning Complex Swarm Behaviors with Deep Reinforcement Learning (2017, background): “Kube et al [13], for example, investigate the cooperative prey retrieval of ants to infer rules on how a swarm of robots can fulfill the task of cooperative box-pushing.”
Swarm Robotics: Past, Present, and Future (2021, background): “B R I E F H I S T O R Y O F S W A R M R O B O T I C S In the last two decades, swarm robotics has grown from a small domain initiated by a few studies with a clear biological inspiration [9]–[12] to a mature research field involving several labs and researchers worldwide.”
A Swarm-Based Learning Method Inspired by Social Insects (2009, methodology): “These phenomenon are easily observed in natural world, and also proved by experimental results [ 16 ].”
Distributed odor source localization (2002, background): “Several examples of collective robotics tasks solved with SI principles can be found in the literature: aggregation [10] and segregation [11], beacon localization [12], stick pulling [13], and collective transportation [14].”