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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261 Ergebnisse für „robotics“

Northwestern University
Modern Robotics: Mechanics, Planning, and Control
Kompetenzen, die Sie erwerben: Mathematics, Linear Algebra, Calculus, Theoretical Computer Science, Algebra, Applied Mathematics, Computer Graphic Techniques, Differential Equations, Entrepreneurship, Leadership and Management, Planning, Supply Chain and Logistics, Algorithms, Computer Programming, General Statistics, Geometry, Graph Theory, Human Computer Interaction, Probability & Statistics, Virtual Reality, Business Analysis, Critical Thinking, Data Analysis, Data Analysis Software, Matlab, Operating Systems, Project Management, Python Programming, Research and Design, Strategy and Operations, Systems Design
4.7
(972 Bewertungen)
Intermediate · Specialization · 3-6 Months
University of Pennsylvania
Robotics
Kompetenzen, die Sie erwerben: Mathematics, Entrepreneurship, Data Analysis, Theoretical Computer Science, Leadership and Management, Algorithms, Machine Learning, Planning, Supply Chain and Logistics, Geometry, Computer Vision, Linear Algebra, Computer Programming, Matlab, Problem Solving, Research and Design, Applied Machine Learning, Computer Architecture, Computer Networking, Data Analysis Software, Network Model, Probability & Statistics, Computer Programming Tools, General Statistics, Bioinformatics, Network Architecture, Network Security, Security Engineering
4.4
(3.8k Bewertungen)
Beginner · Specialization · 3-6 Months
University of Toronto
Self-Driving Cars
Kompetenzen, die Sie erwerben: Computer Programming, Python Programming, Algorithms, Machine Learning, Theoretical Computer Science, Applied Machine Learning, Computer Science, Data Science, General Statistics, Probability & Statistics, Probability Distribution, Artificial Neural Networks, Linear Algebra, Mathematics, Application Development, Applied Mathematics, Calculus, Computational Logic, Differential Equations, Geometry, Machine Learning Algorithms, Software Engineering, Communication, Computer Graphic Techniques, Computer Graphics, Computer Networking, Computer Vision, Decision Making, Deep Learning, Entrepreneurship, Estimation, Feature Engineering, Graph Theory, Leadership and Management, Machine Learning Software, Mathematical Theory & Analysis, Network Model, Planning, Statistical Programming, Supply Chain and Logistics
4.7
(3.2k Bewertungen)
Advanced · Specialization · 3-6 Months
IBM Skills Network
IBM Applied AI
Kompetenzen, die Sie erwerben: Machine Learning, Cloud Computing, IBM Cloud, Python Programming, Data Analysis, Computer Vision, Computer Programming, Computer Science, Data Structures, Programming Principles, Algebra, Applied Machine Learning, Computational Thinking, Data Science, Statistical Programming, Computer Graphics, Theoretical Computer Science, Computer Graphic Techniques, Deep Learning, Natural Language Processing, Algorithms, Artificial Neural Networks, Machine Learning Software, Basic Descriptive Statistics, Computational Logic, Design and Product, Exploratory Data Analysis, Human Computer Interaction, Interactive Design, Other Web Frameworks, Product Design, Web Development, Application Development, Cloud API, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Operating Systems, Software Engineering, Software Engineering Tools, Software Testing, Systems Design, Web Development Tools
4.6
(42.1k Bewertungen)
Beginner · Professional Certificate · 3-6 Months
Kostenlos
University of Washington
Computational Neuroscience
Kompetenzen, die Sie erwerben: Data Science, Machine Learning, Artificial Neural Networks, Python Programming, Statistical Programming, Matlab, Reinforcement Learning, Business Psychology, Communication, Computer Networking, Computer Programming, Data Analysis, Data Analysis Software, Deep Learning, Entrepreneurship, General Statistics, Linear Algebra, Machine Learning Algorithms, Mathematics, Network Model, Probability & Statistics, Probability Distribution
4.6
(1k Bewertungen)
Beginner · Course · 1-3 Months
Kostenlos
Imperial College London
Mathematics for Machine Learning
Kompetenzen, die Sie erwerben: Mathematics, Algebra, Linear Algebra, Machine Learning, Python Programming, Probability & Statistics, General Statistics, Calculus, Computer Programming, Applied Mathematics, Mathematical Theory & Analysis, Statistical Programming, Algorithms, Dimensionality Reduction, Regression, Theoretical Computer Science, Basic Descriptive Statistics, Data Analysis, Probability Distribution, Artificial Neural Networks, Computer Graphic Techniques, Computer Graphics, Computer Networking, Deep Learning, Differential Equations, Experiment, Machine Learning Algorithms, Network Model
4.6
(13.5k Bewertungen)
Beginner · Specialization · 3-6 Months
Kostenlos
Arizona State University
AI and Machine Learning MasterTrack® Certificate
Kompetenzen, die Sie erwerben: Machine Learning, Theoretical Computer Science, Software Engineering, BlockChain, Finance, Software Architecture, Algorithms, Software Testing, Statistical Machine Learning, Computer Programming, Mobile Development, Data Visualization, Deep Learning, Data Analysis, Computational Logic, Computer Architecture, Databases, Mathematics, Probability & Statistics, Computational Thinking, Data Management, General Statistics, Mathematical Theory & Analysis, Programming Principles, Bayesian Network, Computer Vision, Data Mining, Data Structures, Design and Product, Distributed Computing Architecture, Feature Engineering, NoSQL, Operating Systems, Product Design, Security Engineering, Artificial Neural Networks, Operations Research, Probability Distribution, Research and Design, Strategy and Operations, Amazon Web Services, Application Development, Calculus, Cloud Computing, Communication, Cryptography, Data Model, Database Administration, Database Application, Database Design, Dimensionality Reduction, Hardware Design, Journalism, Microarchitecture, Mobile Security, SQL, Software Framework, Statistical Programming, System Programming, iOS Development, Advertising, Algebra, Computer Graphics, Computer Networking, Critical Thinking, Docker (Software), Econometrics, Entrepreneurship, Geovisualization, Human Computer Interaction, Leadership and Management, Marketing, Matlab, Network Security, Other Programming Languages, Planning, Python Programming, Scala Programming, Security Strategy, Spreadsheet Software, Statistical Tests, Supply Chain Systems, Supply Chain and Logistics, System Security, Tableau Software, User Experience, Web Development
Credits angeboten
Mastertrack · 6-12 Months
University of Pennsylvania
AI For Business
Kompetenzen, die Sie erwerben: Machine Learning, Entrepreneurship, Leadership and Management, Strategy and Operations, Machine Learning Algorithms, Finance, Data Management, Theoretical Computer Science, Applied Machine Learning, Data Analysis, Business Analysis, Human Resources, Marketing, Artificial Neural Networks, Deep Learning, Computational Thinking, Computer Programming, Accounting, Algorithms, People Management, Regulations and Compliance, Sales, Big Data, Data Mining, Data Warehousing, Feature Engineering, Natural Language Processing, Reinforcement Learning, Audit, BlockChain, Business Transformation, Clinical Data Management, Customer Analysis, Customer Relationship Management, Customer Success, Database Administration, Databases, Decision Making, Financial Analysis, Innovation, Research and Design, Security Engineering, Software Security, Strategy
4.6
(130 Bewertungen)
Beginner · Specialization · 3-6 Months

Suchanfragen mit Bezug zu robotics

robotics: computational motion planning

robotics: aerial robotics

robotics: capstone

robotics: estimation and learning

robotics: perception

robotics: mobility

modern robotics: mechanics, planning, and control

modern robotics, course 1: foundations of robot motion

Zusammenfassend sind hier 10 unserer beliebtesten robotics Kurse

Modern Robotics: Mechanics, Planning, and Control: Northwestern University
Robotics: University of Pennsylvania
Modern Robotics, Course 1: Foundations of Robot Motion: Northwestern University
Self-Driving Cars: University of Toronto
IBM Applied AI: IBM Skills Network
Post Graduate Certificate in Robotics and Mechatronics: IIT Guwahati
Computational Neuroscience: University of Washington
機器人學一 (Robotics (1)): National Taiwan University
Mathematics for Machine Learning: Imperial College London
Robótica: Universidad Nacional Autónoma de México

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Google (25)

Computerprogramm (21)

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Web (19)

Google Cloud-Platform (18)

Anwendungsschnittstellen-Programmierung (17)

Datenstruktur (16)

Problemlösung (14)

Objektorientierte Programmierung (13)

Kubernetes (10)

List & Label (10)

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.