CAREER: Robotic BioTelemetry

本项目旨在开发新的算法和系统，通过远程控制的网络机器人摄像机定量测量自然栖息地和动物活动。由于人类活动可能会对被监视的动物及其种群造成很大干扰，因此该项目将基于高分辨率网络机器人摄像机和远程无线网络的最新进展，开发新的非侵入性生物遥测方法。有可能改变研究自然的方式，该项目将允许科学家小组，通过互联网，远程识别和实时测量重要变量，如数量，大小，体积，速度，运动模式和行为特征。由于自然环境中的物体或其集合通常是非线性的、不确定的、非凸/凹的、不规则的、可变形的、时变的/瞬态的，因此具有挑战性的问题需要新的算法和系统开发。该项目与自然科学家合作，通过建立原型和研究机器人生物遥测系统的新指标、数学模型、算法和架构，承担了这项长期的努力，这是一个为期五年的综合研究和教育项目，将强调主动机器人驱动、自动化、协作和最佳系统设计。

CAREER: Robotic BioTelemetryAbstractThis project aims to develop new algorithms and systems to quantitatively measure natural habitats and animal activities via remotely controlled networked robotic cameras. Since human activity can be very disturbing to the animal under scrutiny and its colony, the project will develop new non-intrusive biotelemetry methods based on emerging advances in high-resolution networked robotic cameras and long-range wireless networking. With the potential of changing the way to study nature, the project will allow groups of scientists, via the internet, to remotely identify and measure in real-time important variables such as quantity, size, volume, speed, motion pattern, and behavior characteristics. Since objects or its collection in a natural environment are often nonlinear, non-deterministic, non-convex/concave, irregular, deformable, and time-variant / transient, the challenging problem requires new algorithm and system development. Collaborating with natural scientists, the project undertake this long term effort by building prototypes and investigating new metrics, mathematical models, algorithms, and architectures for robot biotelemetry systems in a five-year integrated research and educational project that will emphasize active robotic actuation, automation, collaboration, and optimal system design.