CPS: Synergy: Distributed Sensing, Learning and Control in Dynamic Environments

该项目的目标是通过集成感知、规划范例、学习和数据库来提高动态环境（如灾难恢复）中自治系统的性能。为了使下一代自主系统在实际性能改进方面真正有效（例如，长期操作，复杂和快速变化的环境），必须达到新的智能水平。这个项目通过提高机器人系统的协调活动（比如搜索灾区）、识别物体或人、考虑不确定性以及“最重要的”学习的能力来改善机器人系统的状态，因此系统的性能在不断提高。为此，该项目采用跨学科的方法在核心领域和感知、计划、学习和数据库的接口上开发技术，以实现健壮性。该项目旨在显著提高网络物理系统的性能，用于灾难监测、搜索和救援、自主导航、安全和监视等时间关键应用。它使技术和工具的发展，以扩大所有决策过程和应用，其特点是不断变化的操作条件，任务和环境。该项目通过培训加州大学河滨分校的学生，为教育和多元化的工程劳动力做出了贡献。加州大学河滨分校是美国最多元化的研究机构之一，也是经认证的西班牙裔服务机构。教学和研究机会跨越了传统的学科界限，该项目是本科毕业设计项目和新的研究生课程的基础。该项目的软件和测试平台将与网络物理系统研究界、工业界和最终用户共享。该项目计划在主要的IEEE和ACM会议上展示重点研讨会/教程。调查结果将通过项目网站广泛传播。欲了解更多信息，请访问项目网站：http://vislab.ucr.edu/RESEARCH/DSLC/DSLC.php

The objective of this project is to improve the performance of autonomous systems in dynamic environments, such as disaster recovery, by integrating perception, planningparadigms, learning, and databases. For the next generation of autonomous systems to betruly effective in terms of tangible performance improvements (e.g., long-term operations,complex and rapidly changing environments), a new level of intelligence must be attained.This project improves the state of robotic systems by enhancing their ability to coordinateactivities (such as searching a disaster zone), recognize objects or people, account foruncertainty, and "most important" learn, so the system's performance is continuously improving. To do this, the project takes an interdisciplinary approach to developing techniques in core areas and at the interface of perception, planning, learning, and databases to achieve robustness. This project seeks to significantly improve the performance of cyber-physical systems for time-critical applications such as disaster monitoring, search and rescue, autonomous navigation, and security and surveillance. It enables the development of techniques and tools to augment all decision making processes and applications which are characterizedby continuously changing operating conditions, missions and environments. The projectcontributes to education and a diverse engineering workforce by training students at theUniversity of California, Riverside, one of the most diverse research institutions in US and an accredited Hispanic Serving Institution. Instruction and research opportunitiescross traditional disciplinary boundaries, and the project serves as the basis for undergraduate capstone design projects and a new graduate course. The software and testbeds from this project will be shared with the cyber-physical system research community,industry, and end users. The project plans to present focused workshops/tutorials at major IEEE and ACM conferences. The results will be broadly disseminated through the project website.For further information see the project website at: http://vislab.ucr.edu/RESEARCH/DSLC/DSLC.php