Introduction to Bio-Inspired Optimization
Rajeshwari Sissodia, ManMohan Singh Rauthan, Varun Barthwal
- 发表年份
- 2024
- 引用次数
- 2
摘要
Bio-inspired swarm robotics is a cutting-edge field that draws inspiration from the collective behaviors of social insects, birds, and fish. This chapter introduces readers to this transformative technology, exploring its historical development, core principles like swarm intelligence and self-organization, and the algorithms used to control robot swarms. With the ability to mimic nature's efficiency, swarm robotics finds applications in environmental monitoring, precision agriculture, and construction. However, it also raises ethical concerns that must be addressed responsibly. Looking ahead, the chapter envisions a future where robot swarms collaborate seamlessly, ushering in a new era of collective intelligence. Human-swarm interaction is also highlighted, emphasizing the potential for collaboration and a positive impact on society. This chapter serves as an insightful entry point into the fascinating world of bio-inspired swarm robotics, showcasing its potential to revolutionize various industries and shape a better future.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002