雷小康

副教授    硕士生导师

个人信息 更多+
  • 教师英文名称: Xiaokang Lei
  • 教师拼音名称: Lei Xiaokang
  • 所在单位: 信息与控制工程学院
  • 学历: 博士研究生毕业
  • 办公地点: 西安建筑科技大学草堂校区信控楼801
  • 性别: 男
  • 学位: 工学博士学位
  • 在职信息: 在职

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Self-organized muti-target trapping of swarm robots with density-based intercation

发布时间:2024-08-09
点击次数:
所属单位:
信息与控制工程学院
发表刊物:
COMPLEX&INTELLIGENT SYSTEMS
关键字:
Swarm robots · Distributed robot systems · Multi-target trapping · Self-organized trapping · Density-based interaction
摘要:
The task of multi-target trapping in swarm robots can often be solved by global shape planning and target assignment, but it still remains a challenge to achieve fully self-organized multi-target trapping behavior based on local information. In this paper, inspired by the concept of spatial density in physics and biology, we proposed a novel density-based method to enable the swarm robots to entrap multiple targets with either single-ring, multi-ring or multi-subgroup formation in a distributed and self-organized way while neither communication among robots nor encirclement function is required. Each robot’s local spatial density is considered as the main clue for the individual’s motion decision-making and the enclosed configurations emerge from such individual-level interactions rather than being explicitly designed. Numerical simulations and real robotic experiments are conducted to validate the effectiveness of the proposed method. The results show that the proposed selforganized trapping method allows a swarm of robots to entrap multiple moving targets in a stable, flexible, noise-tolerate and size-scalable fashion.
合写作者:
张帅
第一作者:
雷小康
论文类型:
期刊论文
通讯作者:
向雅伦,段梦园
ISSN号:
2199-4536
是否译文:
发表时间:
2023-03-08