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Robotics Engineer

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March 29, 2024 Updated May 12, 2025 15 minute read

Embarking on a Career as a Robotics Engineer

Robotics engineering is a dynamic and rapidly evolving field that merges several disciplines, primarily mechanical engineering, electrical engineering, and computer science, with a dash of creative problem-solving. It's all about designing, building, programming, and testing robots and robotic systems. These aren't just the walking, talking robots of science fiction; they are sophisticated machines designed to perform a vast array of tasks, from assembling cars with micron-level precision to assisting in delicate surgical procedures and even exploring distant planets. As a robotics engineer, you could be involved in any part of a robot's creation, from the initial concept and design to writing the software that controls its movements and decision-making processes.

The allure of robotics engineering often lies in its inherent innovativeness and the tangible impact one can have on the world. Imagine developing a robotic arm that significantly speeds up a manufacturing process, or a sophisticated sensor system that allows a robot to navigate and interact with a complex, changing environment. The field constantly pushes the boundaries of what's possible, offering intellectually stimulating challenges and the satisfaction of seeing your creations come to life and solve real-world problems.

What is Robotics Engineering?

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Salaries for Robotics Engineer

City
Median
New York
$145,000
San Francisco
$160,000
Seattle
$139,000
See all salaries
City
Median
New York
$145,000
San Francisco
$160,000
Seattle
$139,000
Austin
$173,000
Toronto
$148,000
London
£79,000
Paris
€71,000
Berlin
€118,000
Tel Aviv
₪530,000
Singapore
S$123,000
Beijing
¥719,000
Shanghai
¥370,000
Shenzhen
¥660,000
Bengalaru
₹660,000
Delhi
₹739,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Robotics Engineer

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We've curated 24 courses to help you on your path to Robotics Engineer. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

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Provides a comprehensive overview of robot motion planning. It covers both the theoretical foundations and the practical algorithms used in this field. The author of this book is Jean-Claude Latombe who has received a number of prestigious international awards for his contributions to robotics.
Provides a comprehensive overview of the fundamentals of mobile robotics, including kinematics, dynamics, control, and navigation. It is suitable for students and researchers interested in the design and control of wheeled mobile robots.
This textbook provides a comprehensive overview of robot modeling and control. It covers both the theoretical foundations and the practical algorithms used in this field.
This textbook provides a comprehensive overview of motion planning for mobile robots.
Provides a comprehensive overview of robot motion planning, a key subtopic of wheeled mobile robots. It valuable resource for researchers and students in the field of robotics.
Provides a comprehensive overview of pose estimation from a computer vision perspective, covering both classical and modern techniques.
Provides a practical guide to the design, implementation, and control of wheeled mobile robots. It covers topics such as robot kinematics, dynamics, control, and navigation, and includes numerous examples and exercises.
Provides a comprehensive overview of planning algorithms. It covers both the theoretical foundations and the practical algorithms used in this field.
Provides a comprehensive overview of the field of autonomous mobile robotics, including a chapter on wheeled mobile robots. It valuable resource for students and researchers in the field of robotics.
Provides a comprehensive overview of the field of mobile robotics, including a chapter on wheeled mobile robots. It valuable resource for students and researchers in the field of robotics.
Provides a comprehensive overview of the fundamentals of robotics, including kinematics, dynamics, control, and planning. It is suitable for students and researchers interested in the design and control of wheeled mobile robots.
Provides a comprehensive overview of the fundamentals of planning algorithms, including path planning, motion planning, and task planning. It is suitable for students and researchers interested in the design and control of wheeled mobile robots.
Provides a comprehensive overview of the fundamentals of artificial intelligence, including machine learning, natural language processing, and computer vision. It is suitable for students and researchers interested in the design and control of wheeled mobile robots.
Provides a comprehensive overview of the fundamentals of computer vision, including image processing, feature detection, and object recognition. It is suitable for students and researchers interested in the design and control of wheeled mobile robots.
Provides a comprehensive overview of the fundamentals of machine learning, including supervised learning, unsupervised learning, and reinforcement learning. It is suitable for students and researchers interested in the design and control of wheeled mobile robots.
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