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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232 Ergebnisse für „robotics“

University of Pennsylvania
Robotics
Kompetenzen, die Sie erwerben: Algorithms, Applied Machine Learning, Bioinformatics, Computer Programming, Computer Programming Tools, Computer Vision, Data Analysis, Data Analysis Software, Entrepreneurship, General Statistics, Geometry, Leadership and Management, Linear Algebra, Machine Learning, Mathematics, Matlab, Path (Variable), Planning, Probability & Statistics, Problem Solving, Research and Design, Robotics, Supply Chain and Logistics, Theoretical Computer Science
4.4
(3.7k Bewertungen)
Beginner · Specialization · 3-6 Months
Northwestern University
Modern Robotics: Mechanics, Planning, and Control
Kompetenzen, die Sie erwerben: Algebra, Algorithms, Business Analysis, Calculus, Computer Graphic Techniques, Computer Programming, Critical Thinking, Data Analysis, Data Analysis Software, Differential Equations, Entrepreneurship, General Statistics, Graph Theory, Human Computer Interaction, Leadership and Management, Linear Algebra, Linearity, Mathematics, Matlab, Matrices, Operating Systems, Planning, Probability & Statistics, Project Management, Python Programming, Research and Design, Robotics, Strategy and Operations, Supply Chain and Logistics, Systems Design, Theoretical Computer Science, Virtual Reality
4.7
(918 Bewertungen)
Intermediate · Specialization · 3-6 Months
University of Toronto
Self-Driving Cars
Kompetenzen, die Sie erwerben: 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
(3.1k Bewertungen)
Advanced · Specialization · 3-6 Months
Kostenlos
Kostenlos
University of Washington
Computational Neuroscience
Kompetenzen, die Sie erwerben: Mathematics, Communication, Computer Programming, Computer Networking, Deep Learning, Entrepreneurship, Data Analysis, Data Analysis Software, Machine Learning, Network Model, Business Psychology, Machine Learning Algorithms, Probability & Statistics, Linear Algebra, Python Programming, Reinforcement Learning, Matlab, Statistical Programming, Probability Distribution, General Statistics, Modeling, Artificial Neural Networks, Neuroscience
4.6
(959 Bewertungen)
Beginner · Course · 1-3 Months
Kostenlos
Imperial College London
Mathematics for Machine Learning
Kompetenzen, die Sie erwerben: Algebra, Algorithms, Analysis, Artificial Neural Networks, Basic Descriptive Statistics, Calculus, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Analysis, Deep Learning, Differential Equations, Dimensionality Reduction, General Statistics, Lambda Calculus, Linear Algebra, Linearity, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Matrices, Probability & Statistics, Probability Distribution, Python Programming, Regression, Statistical Programming, Theoretical Computer Science
4.6
(13k Bewertungen)
Beginner · Specialization · 3-6 Months

Suchanfragen mit Bezug zu robotics

robotics: aerial robotics

robotics: perception

robotics: computational motion planning

robotics: mobility

robotics: estimation and learning

robotics: capstone

modern robotics, course 3: robot dynamics

modern robotics, course 1: foundations of robot motion

Zusammenfassend sind hier 10 unserer beliebtesten robotics Kurse

Robotics: University of Pennsylvania
Modern Robotics: Mechanics, Planning, and Control: Northwestern University
AI For Everyone: DeepLearning.AI
Modern Robotics, Course 1: Foundations of Robot Motion: Northwestern University
Self-Driving Cars: University of Toronto
Collaborative Robot Safety: Design & Deployment: University at Buffalo
機器人學一 (Robotics (1)): National Taiwan University
Computational Neuroscience: University of Washington
Robótica: Universidad Nacional Autónoma de México
Robotics: Aerial Robotics: University of Pennsylvania

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Häufig gestellte Fragen zum Thema Robotik

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.‎

Diese häufig gestellten Fragen dienen nur zu Informationszwecken. Den Lernenden wird empfohlen, eingehender zu recherchieren, ob Kurse und andere angestrebte Qualifikationen wirklich ihren persönlichen, beruflichen und finanziellen Vorstellungen entsprechen.