帝国理工学院(Imperial College London)简称IC，与牛津大学、剑桥大学、伦敦政治经济学院、伦敦大学学院等校并称为金三角名校和G5超级精英大学。IC十分青睐理工科背景的同学，今天小编就来给大家分析一下IC的人类与生物机器人专业。
帝国理工学院的人类和生物机器人的研究主要集中在神经力学、仿生设计、信号和图像处理以及机器人在健康工业和日常生活中的应用。帝国理工学院人类与生物机器人专业课程是一年制课程，采用全日制教学形式。帝国理工学院人类与生物机器人专业课程包括人类和社会机器人、服务和社会机器人、康复技术、机器视觉、人工智能和机器学习，重点是探索人类和动物感知和知觉运动控制、仿生系统的工程研究方法。帝国理工学院计算机学院学院师资力量雄厚，该专业由生物工程系和其他生物机器人领域的专家授课。帝国理工学院人类与生物机器人专业的学生将学习神经力学、仿生设计、信号和图像处理以及机器人在健康和日常生活中的应用。该专业的学生毕业后主要从事以下领域的研究和工作：高校、研究机构或工业与卫生保健研究;医疗设备和仿生系统设计与生产等。
You take all of the core modules from the list below.
Human Neuromechanical Control and Learning – explores the control of human movement from the perspective of both adaptation of the neural control system and adaptation of properties of the mechanical plant.
Medical device entrepreneurship – introduces various aspects of medical device entrepreneurship, looking at case studies from start-ups, industry and investment firms to give you a sense of the process and challenges in developing your own business idea.
Robotics 1 - introduces the field of robotics including the most important theoretic building blocks in robotics, namely, kinematics and dynamics of robots, robot control and motion planning algorithms.
Statistics and Data Analysis – enables the understanding of basic statistical analyses and their application and presents a fresh view of statistical concepts.
Systems Physiology – describes the organ systems and their function covering everything from the cardiovascular system to brain function and the musculoskeletal and respiratory systems.
You choose five optional modules in total. At least four of these modules will be from Group 1.
Group 1
You choose four or five modules from the list below. Typically, options include:
Biomechanics – an introduction to the principles of mechanics, such as solid mechanics and fluids mechanics, and their application to living systems.
Biomimetics – explains the scope of biomimetics and investigates the principles that help engineers solve technical problems using inspiration from nature.
Brain Machine Interfaces – introduces technology that is used already in clinical settings for interfacing of the human brain to electronic circuitry, looking at clinical uses for brain-machine interfaces and deep-brain stimulation.
Computational Neuroscience – an introduction to Computational Neuroscience, providing an appreciation of the role of computational and theoretical approaches to understanding the nervous system.
Computer Vision and pattern recognition – focuses on the application areas of machine learning tools, namely Computer Vision, Robotics and general Pattern Recognition.
Application Specific Integrated Circuits (ASICs) for Bioengineering - introduces the basics of simulation, physical layout and verification of Application Specific Integrated Circuits (ASICs) for Bioengineering applications.
Image Processing - examines digital image processing relevant to image analysis giving an appreciation for aspects of computation involved in interpreting images.
Reinforcement Learning - Introduces reinforcement learning and its mathematical foundations.
Group 2
You choose up to one module from the list below. Typically options include:
Embedded C for Microcontrollers – introduces students to the C programming language, to develop the ability to programme mechatronic systems containing sensors and actuators.
Human Centred Assistive and Rehabilitation Devices – focuses on the design of rehabilitation systems and assistive devices, integrating mechatronics and human factors into computer games.
Robotics – focuses on the field of mobile robotics, at the exciting time when cutting-edge robots are beginning to leave the research laboratory to tackle real-world tasks – in space, in the desert or in your living room.
Animal Locomotion and Bioinspired Robotics – provides practical training in bio-inspired robotics locomotion. The course revolves around selected topics in animal locomotion and corresponding robotics projects.
您可以从下面的列表中选择所有核心模块。
•人类神经机械控制和学习–从神经控制系统的适应和机械设备特性的适应两个角度探索人类运动的控制。
•医疗器械创业——介绍医疗器械创业的各个方面，查看初创企业、行业和投资公司的案例研究，让您了解发展自己商业理念的过程和挑战。
•机器人学1-介绍机器人学领域，包括机器人学中最重要的理论基础，即机器人运动学和动力学、机器人控制和运动规划算法。
•统计和数据分析–能够理解基本统计分析及其应用，并提供统计概念的全新视角。
•系统生理学-描述器官系统及其功能，涵盖从心血管系统到大脑功能以及肌肉骨骼和呼吸系统的各个方面。
您总共选择了五个可选模块。这些模块中至少有四个来自第1组。
第一组
您可以从下面的列表中选择四个或五个模块。通常，选项包括：
•生物力学——介绍力学原理，如固体力学和流体力学，以及它们在生命系统中的应用。
•仿生学——解释仿生学的范围，研究帮助工程师利用自然灵感解决技术问题的原理。
•脑机接口–介绍了已经在临床环境中使用的技术，用于将人脑连接到电子电路，研究脑机接口和脑深部刺激的临床用途。
•计算神经科学——计算神经科学导论，提供对计算和理论方法在理解神经系统中的作用的理解。
•计算机视觉和模式识别-专注于机器学习工具的应用领域，即计算机视觉、机器人技术和通用模式识别。
•生物工程专用集成电路(ASIC)-介绍生物工程专用集成电路(ASIC)的模拟、物理布局和验证基础。
•图像处理-检查与图像分析相关的数字图像处理，对解释图像所涉及的计算方面给予评价。
•强化学习-介绍强化学习及其数学基础。
第2组
您可以从下面的列表中最多选择一个模块。通常，选项包括：
•微控制器嵌入式C–向学生介绍C编程语言，以培养对包含传感器和执行器的机电系统进行编程的能力。
•以人为中心的辅助和康复设备-专注于康复系统和辅助设备的设计，将机电一体化和人为因素整合到电脑游戏中。
•机器人技术——专注于移动机器人领域，正值尖端机器人开始离开研究实验室处理现实世界任务的激动人心时刻——在太空、沙漠或客厅。
•动物运动和仿生机器人——提供仿生机器人运动的实践培训。本课程围绕动物运动和相应机器人项目的选定主题展开。
