Robot sheepdog project achieves automatic flock control

@inproceedings{Vaghan1998RobotSP,
  title={Robot sheepdog project achieves automatic flock control},
  author={Richard Vaghan and Neil Sumpter and Andy Frost and Stephen Cameron},
  year={1998}
}
This paper describes a mobile robot that can enter a circular arena, gather a ock of ducks and manouvre them safely to a speci ed goal position. A minimal simulation model of the ducks' ocking behaviour was developed and used as a tool to guide the design of a general ock-control algorithm. The algorithm was rst tested in simulation then tranferred unchanged to a physical robot which succeeds in gathering a real ock of ducks. This is the rst example of a robot system that exploits and controls… Expand
An Effective Simple Shepherding Algorithm Suitable for Implementation to a Multi-Mmobile Robot System
  • T. Miki, Tetsuya Nakamura
  • Computer Science
  • First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06)
  • 2006
TLDR
A simple and effective shepherding algorithm using only simple rules like boid's rule proposed by C. Raynolds to guide or control a flocking behavior by one or more external agents which called shepherds is presented. Expand
Animal–robots collective intelligence
TLDR
Ethology has accumulated numerous results showing that animals' interactions could be rather simple signals and it is possible to interact with animals not only by mimicking their behaviors but also by making specially designed and often simple artifacts, so robotics in turn may help ethology to explore animal behavior. Expand
Robot Collection and Transport of Objects: A Biomimetic Process
TLDR
This work adapts a shepherding algorithm inspired by sheepdogs to collect and transport objects using a robot, producing an effective robot collection process that autonomously adapts to changing environmental conditions and is robust to noise from various sources. Expand
Sheepdog-type robot navigation: Experimental verification based on a linear model
TLDR
This paper designs the sheepdog-type robot navigation based on the linearized model of sheep flock and the sheepdogs and derives the stability condition of the system and conducts robot demonstrations with five sheep robots and two sheepdog robots to verify the system in the real world. Expand
A Comprehensive Review of Shepherding as a Bio-Inspired Swarm-Robotics Guidance Approach
TLDR
A comprehensive review of the literature on swarm shepherding is presented in order to reveal the advantages and potential of the approach to be applied to a plethora of robotic systems in the future. Expand
Learning Models of Animal Behaviour for a Robotic Sheepdog
TLDR
A method of autonnt icnl ly mtmcting a model of animal behaviour that is more appropsiafe than an alternate rulebased model is proposed, and this can be used for the development of future IikeZzhood of future animals. Expand
Robotics in A 46 . Robotics in Agriculture and Forestry
In agriculture and forestry, robotics has made a substantial impact. Farmers are conscious of their need for automatic vehicle guidance to minimize damage to the growing zone of their soil. AutomaticExpand
AI for Herding Sheep
TLDR
A dog AI making use of influence mapping, state machines and A* pathfinding to respond intelligently to real-life shepherding commands issued by a high-level shepherd AI steering the flock of sheep through waypoints on a variety of maps by using pathfinding and influence maps is presented. Expand
Solving the shepherding problem: heuristics for herding autonomous, interacting agents
TLDR
An algorithm based on adaptive switching between collecting the agents when they are too dispersed and driving them once they are aggregated is demonstrated, which reproduces key features of empirical data collected from sheep–dog interactions and suggests new ways in which robots can be designed to influence movements of living and artificial agents. Expand
Counter-Misdirection in Behavior-based Multi-robot Teams **Research supported by the National Science Foundation under CNS EAGER grant #1848653.
  • Shengkang Chen, R. Arkin
  • Computer Science
  • 2021 IEEE International Conference on Intelligence and Safety for Robotics (ISR)
  • 2021
TLDR
A novel counter-misdirection approach for behavior-based multi-robot teams is developed by deploying a new type of agent: counter- misdirection agents (CMAs) that can detect the misdirection process and “push back” the misdirected agents collaboratively to stop the misirection process. Expand
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Introducing the Robot Sheepdog Project
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