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Swarm robots in mechanized agricultural operations: A review about challenges for research
Agricultural mechanization is an area of knowledge that has evolved a lot over the past
century, its main actors being agricultural tractors that, in 100 years, have increased their …
century, its main actors being agricultural tractors that, in 100 years, have increased their …
Bio-inspired self-organising multi-robot pattern formation: A review
Self-organised emergent patterns can be widely seen in natural and man-made complex
systems generated by interactions among local components without external or global …
systems generated by interactions among local components without external or global …
The Best-of-n Problem in Robot Swarms: Formalization, State of the Art, and Novel Perspectives
The ability to collectively choose the best among a finite set of alternatives is a fundamental
cognitive skill for robot swarms. In this paper, we propose a formal definition of the best-of-n …
cognitive skill for robot swarms. In this paper, we propose a formal definition of the best-of-n …
[КНИГА][B] Artificial intelligence: With an introduction to machine learning
RE Neapolitan, X Jiang - 2018 - books.google.com
The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an
accessible and student friendly introduction to AI. This fully revised and expanded update …
accessible and student friendly introduction to AI. This fully revised and expanded update …
Bio-inspired collision avoidance in swarm systems via deep reinforcement learning
Autonomous vehicles have been highlighted as a major growth area for future transportation
systems and the deployment of large numbers of these vehicles is expected when safety …
systems and the deployment of large numbers of these vehicles is expected when safety …
Automatic design of stigmergy-based behaviours for robot swarms
Stigmergy is a form of indirect communication and coordination in which individuals
influence their peers by modifying the environment in various ways, including rearranging …
influence their peers by modifying the environment in various ways, including rearranging …
Autonomous task sequencing in a robot swarm
Robot swarms mimic natural systems in which collective abilities emerge from the interaction
of individuals. So far, the swarm robotics literature has focused on the emergence of …
of individuals. So far, the swarm robotics literature has focused on the emergence of …
Majority-rule opinion dynamics with differential latency: a mechanism for self-organized collective decision-making
Collective decision-making is a process whereby the members of a group decide on a
course of action by consensus. In this paper, we propose a collective decision-making …
course of action by consensus. In this paper, we propose a collective decision-making …
Bio-inspired artificial pheromone system for swarm robotics applications
Pheromones are chemical substances released into the environment by an individual
animal, which elicit stereotyped behaviours widely found across the animal kingdom …
animal, which elicit stereotyped behaviours widely found across the animal kingdom …
The -Unanimity Rule for Self-Organized Decision-Making in Swarms of Robots
In this paper, we propose a collective decision-making method for swarms of robots. The
method enables a robot swarm to select, from a set of possible actions, the one that has the …
method enables a robot swarm to select, from a set of possible actions, the one that has the …