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Robotics Researcher

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April 11, 2024 Updated April 8, 2025 15 minute read

Robotics Researcher

A Robotics Researcher stands at the forefront of innovation, designing, building, and programming the intelligent machines that are reshaping our world. This role involves delving deep into the principles of mechanics, electronics, computer science, and artificial intelligence to create robots capable of performing complex tasks, often in unstructured or dynamic environments. From conceptualizing new robotic systems to testing prototypes and publishing findings, researchers push the boundaries of what machines can do.

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Salaries for Robotics Researcher

City
Median
New York
$147,000
San Francisco
$224,000
Seattle
$163,000
See all salaries
City
Median
New York
$147,000
San Francisco
$224,000
Seattle
$163,000
Austin
$148,000
Toronto
$125,000
London
£112,000
Paris
€81,000
Berlin
€130,000
Tel Aviv
₪349,000
Singapore
S$133,000
Beijing
¥415,000
Shanghai
¥740,000
Shenzhen
¥401,000
Bengalaru
₹778,000
Delhi
₹1,500,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Reading list

We've selected some books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Robotics Researcher.
As a comprehensive handbook, this book covers a vast range of topics in robotics, from fundamentals to advanced research. It is an excellent reference for researchers and professionals, providing detailed insights into various subfields of robotics. While not a textbook for a single course, it is invaluable for deepening understanding and exploring contemporary topics.
This seminal book presents the theory and algorithms for robot motion planning, a fundamental problem in robotics. It provides a comprehensive overview of the field and is essential reading for researchers and practitioners.
Focusing on the algorithms behind mobile robot perception and control, this book is essential for understanding topics like localization, mapping, and state estimation in the presence of uncertainty. It is geared towards graduate students and researchers and is considered a seminal work in the field of mobile robotics.
Provides a comprehensive overview of robot motion planning, covering theoretical foundations, algorithms, and practical implementations. It is suitable for graduate students and researchers and key reference for anyone working on how robots navigate and move in complex environments.
This textbook provides a rigorous mathematical treatment of robotics, covering topics such as kinematics, dynamics, control, and planning. It is suitable for advanced undergraduate and graduate students with a strong background in mathematics.
Provides a comprehensive introduction to the AI approach to robotics, covering algorithms and programming for robot systems. It is suitable for students with or without a background in AI and explores how AI contributes to autonomous capabilities. The second edition includes new material on learning, human-robot interaction, and ethics.
Offers a broad and unified treatment of planning algorithms, which are crucial for robots to make decisions and choose actions. It valuable resource for graduate students and researchers interested in the theoretical underpinnings of robot autonomy.
This classic textbook focuses on the dynamics and control of robots, providing a thorough mathematical foundation for modeling and controlling robotic systems. While it does not specifically cover robot simulation, it is an essential resource for understanding the underlying principles.
This textbook covers the full spectrum of robotics, from kinematics to control to planning. It is suitable for advanced undergraduate and graduate students.
Foundational text in reinforcement learning, a key area for developing intelligent and autonomous robots that can learn from experience. It is suitable for graduate students and researchers and provides a comprehensive introduction to the theory and algorithms of reinforcement learning.
Essential for robotics that interact with their environment visually, this book provides a comprehensive introduction to computer vision. It covers fundamental concepts and algorithms, making it suitable for upper-division undergraduate and graduate students. It valuable reference for perception in robotics.
As robots become more prevalent in human environments, understanding human-robot interaction is vital. provides an introduction to the principles and challenges of designing robots that can interact effectively and naturally with humans. It is relevant for students and researchers interested in the social and psychological aspects of robotics.
While not solely focused on robotics, this comprehensive textbook cornerstone for understanding the artificial intelligence principles that underpin many modern robotic capabilities. It is widely used in AI courses at both undergraduate and graduate levels and serves as an excellent reference for the AI aspects of robotics.
Provides a practical guide to designing and building autonomous robots. It is suitable for advanced undergraduate students and hobbyists interested in the hands-on aspects of robotics, covering topics from hardware selection to software architecture.
Offers a practical systems-level approach to designing and building robots for field applications. It is valuable for students and professionals interested in the real-world challenges of deploying robots in unstructured environments.
Given the increasing integration of robots into society, understanding the ethical implications is crucial. explores the ethical and social issues raised by robotics, making it relevant for students and professionals across various disciplines interested in the broader impact of robotics.
This practical guide focuses on the design and implementation of real-time robotic systems. It provides valuable insights into the challenges and techniques involved in developing robots that must respond and adapt in real-time.
This emerging field combines deep learning techniques with robotics to create intelligent and autonomous systems. provides a comprehensive overview of the latest research and applications in deep learning for robotics.
For those interested in the mechanical aspects of building robots, this book provides a detailed guide to designing and constructing robot drive trains. It practical resource for students and hobbyists focusing on the hardware side of robotics.
Classic resource for robot builders, offering a wide array of projects and practical tips for constructing robots. It is well-suited for beginners and hobbyists looking to gain hands-on experience in robotics.
This textbook covers the fundamentals of robotic mapping and navigation, including sensor models, localization, and path planning. It is suitable for advanced undergraduate and graduate students.
This comprehensive handbook provides a broad overview of the field of robotics and automation, including a section on robot simulation and modeling. It valuable resource for practitioners and researchers seeking a comprehensive understanding of the field.
This multi-authored book presents a collection of research papers on various aspects of intelligent robotics, including robot simulation and control. It provides insights into cutting-edge research and applications in the field.
This textbook provides a comprehensive introduction to AI robotics, covering topics such as robot learning, planning, and decision making. It is suitable for undergraduate and graduate students.
Provides a comprehensive overview of the Robot Operating System (ROS), which popular open-source software framework for robot software development. It is suitable for engineers and researchers who want to use ROS for robotics projects.
This textbook provides a comprehensive introduction to autonomous robots and multi-robot systems, covering topics such as robot autonomy, cooperative control, and swarm robotics. It is suitable for advanced undergraduate and graduate students.
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