It may be an oversimplification to say that robotics is the story of robots, but robotics actually combines computer science and engineering to develop machines that can perform tasks—which we call robots. When you study robotics, you're taking what seemed like a science fiction pipe dream just a few decades ago and helping bring it to reality. Studying robotics puts you on the cutting edge of technology and science because robotic scientists are continuing to develop robots with greater capabilities than before. Today's robots work in space, with law enforcement, and in conditions where humans can't work.

Why is it important for me to learn robotics?

Robotics is an important field of study because so many new technologies rely on new developments in robotics—from manufacturing to aerospace and beyond. Robots are helping humans achieve tasks that they never could before. Beyond the immediate applications of robotics, studying this exciting field helps you build your problem-solving skills and develop creativity, deepens your understanding of math and science concepts, and lets you have fun doing it. The robotics industry is growing, so having a thorough knowledge of robotics can set you up for future career success.

What career opportunities can arise from learning robotics?

The growing field of robotics is ripe for career opportunities, so when you learn robotics, you're on the cutting edge of a broadly expanding discipline. You can study for a career developing and building the robots themselves, or you can help write the software that powers the robots and directs them on how to perform their tasks. You may work with the robots that are exploring outer space, or you may help explore the deepest parts of the ocean using robotics. There are career opportunities in research as well, where you could have a hand bringing the next generation of robotic technology to life.

How can taking online courses on Coursera help me learn robotics?

Courses offered on Coursera can help you learn about robotic mobility, self-driving cars, and the ethics of artificial intelligence. You can gain an understanding of robot safety, machine learning, and the fundamental mathematical modeling techniques that are essential in the robotics field.

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Robotics

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''robotics'的 196 個結果

University of Pennsylvania
Robotics
您將獲得的技能： Algorithms, Applied Machine Learning, Bioinformatics, Computer Programming, Computer Vision, Data Analysis, Data Analysis Software, Entrepreneurship, General Statistics, Geometry, Leadership and Management, Linear Algebra, Machine Learning, Mathematics, Planning, Probability & Statistics, Problem Solving, Research and Design, Supply Chain and Logistics, Theoretical Computer Science
4.4
（3.7k 條評論）
Beginner · Specialization
Northwestern University
Modern Robotics: Mechanics, Planning, and Control
您將獲得的技能： Algebra, Algorithms, Calculus, Computer Graphic Techniques, Computer Programming, Data Analysis, Data Analysis Software, Differential Equations, Entrepreneurship, General Statistics, Human Computer Interaction, Leadership and Management, Linear Algebra, Linearity, Mathematics, Planning, Probability & Statistics, Python Programming, Supply Chain and Logistics, Theoretical Computer Science, Virtual Reality
4.7
（896 條評論）
Intermediate · Specialization
University of Toronto
Self-Driving Cars
您將獲得的技能： Artificial Neural Networks, Communication, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Decision Making, Deep Learning, Entrepreneurship, Estimation, Feature Engineering, General Statistics, Graph Theory, Leadership and Management, Linear Algebra, Machine Learning, Mathematical Theory & Analysis, Mathematics, Modeling, Planning, Probability & Statistics, Probability Distribution, Python Programming, Statistical Programming, Supply Chain and Logistics
4.7
（3k 條評論）
Advanced · Specialization
免費
免費
University of Washington
Computational Neuroscience
您將獲得的技能： Machine Learning Algorithms, Data Analysis, Machine Learning, General Statistics, Neuroscience, Entrepreneurship, Matlab, Business Psychology, Mathematics, Python Programming, Reinforcement Learning, Artificial Neural Networks, Statistical Programming, Computer Programming, Computer Networking, Linear Algebra, Network Model, Modeling, Data Analysis Software, Communication, Probability & Statistics, Deep Learning
4.6
（938 條評論）
Beginner · Course
IBM
IBM Applied AI
您將獲得的技能： Application Programming Interfaces, Applied Machine Learning, Artificial Neural Networks, Cloud API, Cloud Computing, Computational Logic, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Data Management, Deep Learning, Ethics, Extract, Transform, Load, IBM Cloud, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Python Programming, Software Engineering, Software Engineering Tools, Statistical Programming, Theoretical Computer Science, Web Development, Web Development Tools
4.6
（37.2k 條評論）
Beginner · Professional Certificate
免費

與 robotics 相關的搜索

robotics: aerial robotics

robotics: computational motion planning

robotics: perception

robotics: mobility

robotics: estimation and learning

robotics: capstone

modern robotics, course 1: foundations of robot motion

modern robotics, course 5: robot manipulation and wheeled mobile robots

總之，這是我們最受歡迎的 robotics 門課程中的 10 門

Robotics: University of Pennsylvania
Modern Robotics: Mechanics, Planning, and Control: Northwestern University
Self-Driving Cars: University of Toronto
Modern Robotics, Course 1: Foundations of Robot Motion: Northwestern University
Robotics: Aerial Robotics: University of Pennsylvania
Robotic Process Automation (RPA): UiPath
Post Graduate Certificate in Robotics and Mechatronics: IIT Guwahati
機器人學一 (Robotics (1)): National Taiwan University
AI For Everyone: DeepLearning.AI
Computational Neuroscience: University of Washington

您可以在 Software Development 中學到的技能

關於機器人的常見問題

It may be an oversimplification to say that robotics is the story of robots, but robotics actually combines computer science and engineering to develop machines that can perform tasks—which we call robots. When you study robotics, you're taking what seemed like a science fiction pipe dream just a few decades ago and helping bring it to reality. Studying robotics puts you on the cutting edge of technology and science because robotic scientists are continuing to develop robots with greater capabilities than before. Today's robots work in space, with law enforcement, and in conditions where humans can't work.‎
Robotics is an important field of study because so many new technologies rely on new developments in robotics—from manufacturing to aerospace and beyond. Robots are helping humans achieve tasks that they never could before. Beyond the immediate applications of robotics, studying this exciting field helps you build your problem-solving skills and develop creativity, deepens your understanding of math and science concepts, and lets you have fun doing it. The robotics industry is growing, so having a thorough knowledge of robotics can set you up for future career success.‎
The growing field of robotics is ripe for career opportunities, so when you learn robotics, you're on the cutting edge of a broadly expanding discipline. You can study for a career developing and building the robots themselves, or you can help write the software that powers the robots and directs them on how to perform their tasks. You may work with the robots that are exploring outer space, or you may help explore the deepest parts of the ocean using robotics. There are career opportunities in research as well, where you could have a hand bringing the next generation of robotic technology to life.‎