Biologically-inspired Navigation Strategies for Swarm Intelligence using Spatial Gaussian Processes
نویسندگان
چکیده
منابع مشابه
Biologically-inspired Navigation Strategies for Swarm Intelligence using Spatial Gaussian Processes
This paper presents a novel class of self-organizing sensing agents that form a swarm and learn the static spatial process of interest through noisy measurements from neighbors for various global goals. The spatial phenomenon of interest is modeled by a Gaussian process. Each sensing agent maintains its own prediction of the Gaussian process based on measurements from neighbors. A set of biolog...
متن کاملModeling Spatial Organization with Swarm Intelligence Processes
Urban Dynamics modeling needs to implement spatial organization emergence in order to describe the development of services evolution and their usage within spatial centers. In this paper, we propose an extension of the nest building algorithm with multi-center, multi-criteria and adaptive processes. We combine a decentralized approach based on emergent clustering mixed with spatial constraints ...
متن کاملBiologically Inspired Vision for Indoor Robot Navigation
Ultrasonic, infrared, laser and other sensors are being applied in robotics. Although combinations of these have allowed robots to navigate, they are only suited for specific scenarios, depending on their limitations. Recent advances in computer vision are turning cameras into useful low-cost sensors that can operate in most types of environments. Cameras enable robots to detect obstacles, reco...
متن کاملOrienteering: spatial navigation strategies and cognitive processes
Di Tore, P.A., Corona, F., & Sibilio, M. (2015). Orienteering: spatial navigation strategies and cognitive processes. J. Hum. Sport Exerc., 9(Proc1), pp.S507-S514. This work argues how the cognitive processes involved in the orienteering peculiar activities (map reading, path finding, and spatial thinking) are also involved in the management of intersubjective relationship. In essence, the skil...
متن کاملBiologically-Inspired Human-Swarm Interaction Metrics
Human-swarm interaction is an emerging field encompassing questions related to biology, robotics, computer science, human-computer interaction, and psychology. Swarms are large groups of individual entities that enact group behaviors; biological examples include fish, birds and insects. Swarms overwhelm humans’ abilities to monitor and interact with each entity. Human-robot and human-computer i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IFAC Proceedings Volumes
سال: 2008
ISSN: 1474-6670
DOI: 10.3182/20080706-5-kr-1001.00100