作为仿生群体机器人引导方法的牧羊法全面综述
A Comprehensive Review of Shepherding as a Bio-inspired Swarm-Robotics Guidance Approach
AI总结：
本文全面综述了受牧羊犬行为启发的群体牧羊控制技术，探讨其在仿真及无人车辆与机器人控制中的研究进展，揭示该方法未来在众多机器人系统中的应用优势与潜力。
摘要：
多个协调机器人智能体的同时控制是一个复杂的问题。然而，若能解决该问题，智能体间的交互可促成复杂问题的解决。受自然启发的群体概念可描述为相对简单的智能体通过交互涌现出复杂的系统级行为。由于自然界中发现的解决方案十分有效，基于仿生群体的控制技术在机器人领域备受关注。一种名为群体牧羊的方法基于牧羊犬展现的牧羊行为，其中一群相对简单的智能体由负责高层引导和规划的牧羊者（或多个牧羊者）所管控。针对作为控制技术的牧羊法已开展大量研究，涵盖从通过仿真复现牧羊行为，到为各种应用控制无人驾驶车辆和机器人。我们对群体牧羊相关文献进行了全面综述，旨在揭示该方法未来应用于众多机器人系统的优势和潜力。
英文摘要：
The simultaneous control of multiple coordinated robotic agents represents an elaborate problem. If solved, however, the interaction between the agents can lead to solutions to sophisticated problems. The concept of swarming, inspired by nature, can be described as the emergence of complex system-level behaviors from the interactions of relatively elementary agents. Due to the effectiveness of solutions found in nature, bio-inspired swarming-based control techniques are receiving a lot of attention in robotics. One method, known as swarm shepherding, is founded on the sheep herding behavior exhibited by sheepdogs, where a swarm of relatively simple agents are governed by a shepherd (or shepherds) which is responsible for high-level guidance and planning. Many studies have been conducted on shepherding as a control technique, ranging from the replication of sheep herding via simulation, to the control of uninhabited vehicles and robots for a variety of applications. We present a comprehensive review of the literature on swarm shepherding to reveal the advantages and potential of the approach to be applied to a plethora of robotic systems in the future.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
