适合人群
适合年级 (Grade): 高中生/大学生
适合专业 (Major): 机器人学、机械工程控制、自动化、航空航天、车辆工程、智能制造等专业或对以上领域感兴趣的学生。
学生需要具备微积分、以及一门编程语言能力
建议选修: 计算机系统与电子工程
导师介绍
Cameron
卡内基梅隆大学 (CMU)
终身教授&项目主任
Cameron于1995年获得约翰·霍普金斯大学机械工程博士学位，并于同年加入卡内基梅隆大学机器人研究所。他目前是机器人学、生物医学工程和机械工程的教授，也是机器人研究所外科机电一体化实验室的主任。自1998年以来，他还是匹兹堡大学康复科学与技术系的兼职教授。他曾在《美国电气与电子工程师学会会刊》和《生物医学工程年鉴》上担任医学机器人特刊的客座编辑。他的研究兴趣包括医疗机器人、控制系统、信号处理和人机交互的生物医学应用。
Cameron received the Ph.D. in mechanical engineering from The Johns Hopkins University in 1995, and joined the Robotics Institute at Carnegie Mellon University the same year. He is presently Research Professor of Robotics, Biomedical Engineering, and Mechanical Engineering, and the Director of the Surgical Mechatronics Laboratory in the Robotics Institute. Since 1998 he has also been Adjunct Professor in the Department of Rehabilitation Science and Technology at the University of Pittsburgh. He has been guest editor of special issues on medical robotics in the Proceedings of the IEEE and in the Annals of Biomedical Engineering. His research interests include medical robotics, control systems, signal processing, and biomedical applications of human-machine interfaces.
项目背景
机器人技术涉及基于感知、认知、操纵或驱动过程对外界采取行动。此外，技术现状越来越以智能设备为特征，智能设备涉及基于数据的认知，并使人类或设备能够对环境进行控制，因此涉及机器人系统的许多方面，即使它们不被称为机器人。所有这些系统的基础是对传感器技术的理解。为了检测作业对象及环境或机器人与它们的关系，在机器人上安装了触觉传感器、视觉传感器、力觉传感器、接近觉传感器、超声波传感器和听觉传感器，大大改善了机器人工作状况，使其能够更充分地完成复杂的工作。由于外部传感器为集多种学科于一身的产品，有些方面还在探索之中，随着外部传感器的进一步完善，机器人的功能越来越强大，将在许多领域为人类做出更大贡献。
Robotics involves acting upon the world based on the process of sensing, cognition, and manipulation or actuation. Moreover, the technological state of the art is increasingly characterized by smart devices that involve cognition based on data and enable ac on upon the environment by humans or devices, and that therefore involve many of the aspects of robo c systems, even if they are not referred to as robots. Fundamental to all such systems is an understanding of sensor technologies. In order to detect the working object and environment or the relationship between the robot and them, tactile sensors, visual sensors, force sensors, proximity sensors, ultrasonic sensors, and auditory sensors are installed on the robot, greatly improving the working condition of the robot and enabling it to complete complex tasks more fully. Due to the fact that external sensors are a product that integrates multiple disciplines, some aspects are still being explored. With the further improvement of external sensors, the functions of robots are becoming increasingly powerful, and they will make greater contributions to humanity in many fields.
项目介绍
本项目的学生将学习定量感知（传感）的原理和实践，以及实现这些原理和实践的设备（传感器）和算法，目的是建立更优秀的机器人系统。内容包括对来自于发射和接收传感器产生的信号，分辨噪音来源，以及对以此为理论的传感交互技术研究。然后，项目将对以传感器为核心的光学探测技术、导航定位技术和感知传感技术（范围、力度和接触的探测）展开深入研究。最后，学生将学习如何将其应用于机器人的控制与驱动中。学生将在项目结束时，选择自己感兴趣的方向进行科学研究，提交项目报告，进行成果展示。
Students in this course will learn about the principles and practices of quantitative perception (sensing) and the devices (sensors) and algorithms that implement them, with the goal of building be er robotic systems. The content includes The production of signals generated by sensors, identifying noise sources and researching sensor interfacing technology based on this theory. Then, the project will conduct in-depth research on optical detection technology, navigation positioning technology, and perceptual sensing technology (range, force, and contact detection) with sensors as the core. Finally, students will learn how to apply them to the control and driving of robots.
项目大纲
传感器交互技术简介 Signals, types of noise, noise reduce on techniques, Introduction to sensor interfacing techniques
传感信号的发射与接收 Sending and Receiving of signals
光学传感，导航定位传感技术 Optical sensing and Sensors for navigation
传感技术在机器人领域的应用 Applications to Robotics of sensing technique
项目回顾与成果展示 Program Review and Presentation
论文辅导 Project Deliverables Tutoring
项目收获
7周在线小组科研学习+5周不限时论文指导学习 共125课时
项目报告
优秀学员获主导师Reference Letter
EI/CPCI/Scopus/ProQuest/Crossref/EBSCO或同等级别索引国际会议全文投递与发表指导（可用于申请）
结业证书
成绩单
LASER Award in Research Skills for Academic Study官方证书并转换8 UCAS Tariff Points（可选）