开始日期: 2024-01-06
课时安排: 7周在线小组科研学习+5周不限时论文指导学习
适合人群
适合年级 (Grade): 高中生/大学生
适合专业 (Major): 机器人学、仿生学、信息工程、人工智能、机器学习等工程类专业或者希望修读相关专业的学生，对仿生机器人研究感兴趣的学生;
学生需要具备物理基础、高等数学基础，至少会使用一门编程语言。
导师介绍
Fumiya
剑桥大学 University of Cambridge终身正教授
Fumiya导师现任剑桥大学工程学院机器人方向终身正教授、剑桥大学仿生机器人实验室主任，曾任苏黎世理工学院(ETH Zurich;国际研究型大学联盟、全球大学高研院联盟、IDEA联盟成员，以研究闻名，多年蝉联欧洲大陆高校翘首)教授、麻省理工学院计算机科学与人工智能实验室博士后研究员(Postdoctoral Associate)。Fumiya导师的研究聚焦仿生机器人、快速机器人制作与进化机器人学、生物系统神经生物机械建模等，在国际知名学术期刊发表论文百余篇，出版多部专著，学术引用量达5401，i10-index87。
Dr.Fumiya is a full prof at the University of Cambridge. From 2006 to 2009 he worked as a postdoctoral associate at the Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology in USA. In 2006 he was awarded the Fellowship for Prospective Researchers from the Swiss National Science Foundation and, in 2009, the Swiss National Science Foundation Professorship. His research interests include biologically inspired robotics, embodied artificial intelligence, and biomechanics, where he was involved in a number of research projects related to dynamic legged locomotion, navigation of autonomous robots, and human-machine interactions.
任职学校
剑桥大学建校于1209年，是世界范围内历史最为悠久的大学之一，英国Top2名校，G5名校之一。剑桥大学享有世界声誉，在英国社会和高等教育系统中具有极其重要的地位，同时具有广泛的世界性影响。许多青年学子都以到剑桥大学深造为理想。剑桥大学在2020年QS世界大学综合排名位列第7。
项目背景
1958年，斯蒂尔意图通过研究生物系统解决工程问题，标志着仿生学作为概念首次提出。如今，随着人工智能的发展，以及化学、控制学、材料学研究的不断突破，仿生机器人在适应性、灵活性上实现了跨越，逐渐活跃于社会生活、工程勘探、安全救援、医疗器械等诸多领域。可以说，仿生机器人和类脑计算共同构成了过去百年间机器人学、生物科学、人工智能最具前沿性和发展空间的交叉性研究领域。何为仿生机器人?当前存在何种技术局限?未来发展前景又在何方?项目将带领学生围绕仿生机器人展开探索。
In 1958, Steele intended to solve engineering problems by studying biological systems, marking the first introduction of bionics as a concept. Today, with the development of artificial intelligence and the continuous breakthroughs in chemistry, cybernetics, and materials research, bionic robots have made leaps in adaptability and flexibility, and are gradually active in many fields such as social life, engineering exploration, safety and rescue, and medical devices. It can be said that bionic robotics and brain-like computing together constitute the most cutting-edge and developmental crossover research area of robotics, bioscience, and artificial intelligence in the past century. What is bionic robotics? What are the current technical limitations? What are the future prospects for development? The project will take students on a journey of discovery around bionic robotics.
项目介绍
项目内容包括Matlab编程、机器人仿真、机器人设计与构型、机器人轨迹规划与搜索、机器人学习与进化算法等。学生将通过本项目熟悉机器人学和仿生学基础理论知识，了解由工程学引领的生物学最新发现与实例，在项目结束时，提交项目个性化研究课题报告，进行成果展示。
个性化研究课题参考：
基于进化算法的足球机器人路径与协作优化研究
基于改进差分进化算法的机器人动力学参数辨识方法研究
服务机器人动力控制系统设计
The project includes Matlab programming, robot simulation, robot design and conformation, robot trajectory planning and search, and robot learning and evolutionary algorithms. Students will familiarize themselves with the basic theoretical knowledge of robotics and bionics through the project, learn about the latest discoveries and examples of biology led by engineering, and submit a report on their personalized research project at the end of the project to present their results.
Individualized research project reference：
Evolutionary algorithm-based path and collaboration optimization for soccer robots
Robot dynamics parameter identification method based on improved differential evolutionary algorithm
Design of power control system for service robots
项目大纲
仿生机器人：Matlab编程、机器人仿真 Bio-inspired robotics: introduction and overview
机器人设计与构型：机器人设计与构件，运用仿生学概念进行机器人仿真 Robot designs and architectures
肌肉VS动力系统、人脑VS电脑 Muscles vs motors, brain vs computers
机器人轨迹规划与搜索 Robot trajectory planning and search
机器人学习与进化算法 Robot learning, evolutionary algorithm
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
