留学背景提升 | 海外科研远程-『理工科』-全球首位人工智能公民Sophia技术原理：智能仿生机器人研究
全球首位人工智能公民Sophia技术原理：
智能仿生机器人研究
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
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Prerequisites
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。
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Instructor Introduction
导师介绍
Fumiya
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剑桥大学
University of Cambridge
终身正教授
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Program Background
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.
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Program Description
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
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Syllabus
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
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Program Outcome
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
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
