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Autonomous swarms of robots can bring robustness, scalability and adaptability to safety-critical tasks such as search and rescue but their application is still very limited. Using semi-autonomous swarms with human control can bring robot…

机器人学 · 计算机科学 2023-03-24 William Hunt , Jack Ryan , Ayodeji O. Abioye , Sarvapali D. Ramchurn , Mohammad D. Soorati

A swarm robotic system consists of a team of robots performing cooperative tasks without any centralized coordination. In principle, swarms enable flexible and scalable solutions; however, designing individual control algorithms that can…

系统与控制 · 电气工程与系统科学 2022-07-15 Stefan Schupp , Francesco Leofante , Leander Behr , Erika Ábrahám , Armando Taccella

A human-swarm cooperative system, which mixes multiple robots and a human supervisor to form a heterogeneous team, is widely used for emergent scenarios such as criminal tracking in social security and victim assistance in a natural…

机器人学 · 计算机科学 2021-03-09 Yijiang Pang , Rui Liu

Multi-swarm systems, where two or more swarms of mobile agents occupy the same region of space with different parameters and goals, occur in a variety of biological, engineering, and defense applications. Composites of multiple swarms can…

适应与自组织系统 · 物理学 2026-03-13 Jason Hindes , Chinthan B. Prasad , Loy McGuire , Ira B. Schwartz

Unraveling the nature of the communication model that governs which two individuals in a swarm interact with each other is an important line of inquiry in the collective behavior sciences. A number of models have been proposed in the…

机器人学 · 计算机科学 2018-01-24 Musad Haque , Connor McGowan , Yifan Guo , Douglas Kirkpatrick , Julie A. Adams

Swarm robotic systems are mainly inspired by swarms of socials insects and the collective emergent behavior that arises from their cooperation at the lower lever. Despite the limited sensory ability, computational power, and communication…

系统与控制 · 计算机科学 2013-03-01 Wesam Elshamy

Swarm robotics is a study of simple robots that exhibit complex behaviour only by interacting locally with other robots and their environment. The control in swarm robotics is mainly distributed whereas centralised control is widely used in…

Robotic swarms are decentralized multi-robot systems whose members use local information from proximal neighbors to execute simple reactive control laws that result in emergent collective behaviors. In contrast, members of a general…

机器人学 · 计算机科学 2018-02-27 Gabriel Arpino , Kyle Morris , Sasanka Nagavalli , Katia Sycara

Swarm robotics is a creative method of organizing multi-robot structures, consisting of many basic robots influenced by communal insects. The greatest astonishing attribute of swarm robots is their capacity to function together to…

机器人学 · 计算机科学 2023-02-14 B. Udugama

Swarm robotic systems are systems in which multiple robots having simple functionality perform tasks through their cooperation, and are advantageous in that they can exhibit non-trivial macroscopic functions such as adaptability, fault…

机器人学 · 计算机科学 2018-08-14 Takeshi Kano , Naoki matsui , Eiichi Naito , Takenobu Aoshima , Akio Ishiguro

Swarming patterns that emerge from the interaction of many mobile agents are a subject of great interest in fields ranging from biology to physics and robotics. In some application areas, multiple swarms effectively interact and collide,…

斑图形成与孤子 · 物理学 2021-06-09 Jason Hindes , Victoria Edwards , M. Ani Hsieh , Ira B. Schwartz

Robot swarms are composed of many simple robots that communicate and collaborate to fulfill complex tasks. Robot controllers usually need to be specified by experts on a case-by-case basis via programming code. This process is…

机器人学 · 计算机科学 2024-10-31 Volker Strobel , Marco Dorigo , Mario Fritz

Swarm perception refers to the ability of a robot swarm to utilize the perception capabilities of each individual robot, forming a collective understanding of the environment. Their distributed nature enables robot swarms to continuously…

With increasing numbers of mobile robots arriving in real-world applications, more robots coexist in the same space, interact, and possibly collaborate. Methods to provide such systems with system size scalability are known, for example,…

机器人学 · 计算机科学 2024-05-15 Jonas Kuckling , Robin Luckey , Viktor Avrutin , Andrew Vardy , Andreagiovanni Reina , Heiko Hamann

Swarming behavior, where coherent motion emerges from the interactions of many mobile agents, is ubiquitous in physics and biology. Moreover, there are many efforts to replicate swarming dynamics in mobile robotic systems which take…

适应与自组织系统 · 物理学 2021-06-04 Ira B. Schwartz , Victoria Edwards , Jason Hindes

Human-swarm interaction (HSI) is an active research challenge in the realms of swarm robotics and human-factors engineering. Here we apply a cognitive systems engineering perspective and introduce a neuro-inspired joint systems theory of…

人机交互 · 计算机科学 2025-12-02 Jonas D. Hasbach , Maren Bennewitz

A fruitful collaboration is based on the mutual knowledge of each other skills and on the possibility of communicating their own limits and proposing alternatives to adapt the execution of a task to the capabilities of the collaborators.…

机器人学 · 计算机科学 2022-06-13 Davide Ferrari , Federico Benzi , Cristian Secchi

Most studies in swarm robotics treat the swarm as an isolated system of interest. We argue that the prevailing view of swarms as self-sufficient, independent systems limits the scope of potential applications for swarm robotics. A robot…

Robot swarms often exhibit emergent behaviors that are fascinating to observe; however, it is often difficult to predict what swarm behaviors can emerge under a given set of agent capabilities. We seek to efficiently leverage human input to…

多智能体系统 · 计算机科学 2023-07-18 Connor Mattson , Daniel S. Brown

The Agentic Service Ecosystem consists of heterogeneous autonomous agents (e.g., intelligent machines, humans, and human-machine hybrid systems) that interact through resource exchange and service co-creation. These agents, with distinct…

多智能体系统 · 计算机科学 2025-08-12 Xuwen Zhang , Xiao Xue , Xia Xie , Qun Ma , Xiangning Yu , Deyu Zhou , Yifan Wang , Ming Zhang
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