This paper presents a novel swarm robotics application of chemotaxis behaviour observed in microorganisms. This approach was used to cause exploration robots to return to a work area around the swarm’s nest within a boundless environment. We investigate the performance of our algorithm through extensive simulation studies and hardware validation. Results show that the chemotaxis approach is effective for keeping the swarm close to both stationary and moving nests. Performance comparison of these results with the unrealistic case where a boundary wall was used to keep the swarm within a target search area showed that our chemotaxis approach produced competitive results
2021 Fall.Includes bibliographical references.Robots in a swarm are programmed with individual behav...
Swarming has been observed in many animal species, including fish, birds, insects and mammals. These...
A robotics swarm is a set of simple distributed agents cooperating to achieve a certain goal. Each ...
Swarm foraging is a common test case application for multi-robot systems. In this paper we present a...
Robotics is making significant strides in its capabilities and is being integrated into many real-wo...
Target searching is a well-known but difficult problem in many research domains, including computati...
Yang B, Ding Y, Jin Y, Hao K. Self-organized swarm robot for target search and trapping inspired by ...
Recent population migrations have led to numerous accidents and deaths. Little research has been don...
This paper discusses the different modes of operation of a swarm of robots: (i) non-communicative sw...
International audienceSwarm robotics takes inspiration from natural selforganizing systems such as s...
Interest in swarm robotics, particularly those modeled on biological systems, has been increasing wi...
In recent years, an understanding of the operating principles and stability of natural swarms has pr...
This paper addresses the multi-robot barrier coverage problem. It presents a group of memory-less ro...
Swarm robotics is a promising approach for the coordination of large numbers of robots. While previo...
Committee members: Fonseca, Benedito; Ryu, Ji-Chul.Advisor: Butail, Sachit.Includes bibliographical ...
2021 Fall.Includes bibliographical references.Robots in a swarm are programmed with individual behav...
Swarming has been observed in many animal species, including fish, birds, insects and mammals. These...
A robotics swarm is a set of simple distributed agents cooperating to achieve a certain goal. Each ...
Swarm foraging is a common test case application for multi-robot systems. In this paper we present a...
Robotics is making significant strides in its capabilities and is being integrated into many real-wo...
Target searching is a well-known but difficult problem in many research domains, including computati...
Yang B, Ding Y, Jin Y, Hao K. Self-organized swarm robot for target search and trapping inspired by ...
Recent population migrations have led to numerous accidents and deaths. Little research has been don...
This paper discusses the different modes of operation of a swarm of robots: (i) non-communicative sw...
International audienceSwarm robotics takes inspiration from natural selforganizing systems such as s...
Interest in swarm robotics, particularly those modeled on biological systems, has been increasing wi...
In recent years, an understanding of the operating principles and stability of natural swarms has pr...
This paper addresses the multi-robot barrier coverage problem. It presents a group of memory-less ro...
Swarm robotics is a promising approach for the coordination of large numbers of robots. While previo...
Committee members: Fonseca, Benedito; Ryu, Ji-Chul.Advisor: Butail, Sachit.Includes bibliographical ...
2021 Fall.Includes bibliographical references.Robots in a swarm are programmed with individual behav...
Swarming has been observed in many animal species, including fish, birds, insects and mammals. These...
A robotics swarm is a set of simple distributed agents cooperating to achieve a certain goal. Each ...