Robotics is the field of engineering that deals with the design, operation, and application of robots

Robots are machines that can perform tasks that are normally done by humans or animals, such as manufacturing, exploration, entertainment, or healthcare. Mechanical engineering, electrical engineering, computer science, and artificial intelligence are just a few of the disciplines that are combined in robotics.

1. Systems Thinking: This is the ability to understand how different parts of a system interact and influence each other. Systems thinking helps roboticists design, develop, test, and maintain robots and robotic systems that are complex and dynamic. Systems thinking also helps roboticists to identify and solve problems that arise in robotics.

2. The Programming Mindset: This is the ability to use logic, algorithms, and programming languages to create and modify the software that controls the robots and robotic systems. The programming mindset helps roboticists to code, debug, and optimize the software that runs on various hardware platforms, such as microcontrollers, sensors, actuators, or computers.

3. Active Learning: This is the ability to continuously learn new skills and knowledge that are relevant to robotics. Active learning helps roboticists to keep up with the fast-changing technologies and trends in robotics. Active learning also helps roboticists to improve their performance and creativity in robotics.

4. Mathematics: This is the ability to use mathematical concepts and methods to model, analyze, and solve problems in robotics. Mathematics helps roboticists to understand the physics, geometry, kinematics, dynamics, and control of robots and robotic systems. Mathematics also helps roboticists design and implement algorithms for robot learning, motion planning, navigation, vision, or communication.

5. Science or other Applied Mathematics: This is the ability to use scientific principles and methods to investigate and explain phenomena in robotics. Science or other applied mathematics helps roboticists to understand the mechanics, electronics, materials, chemistry, biology, or psychology of robots and robotic systems. Science or other applied mathematics also helps roboticists apply their knowledge to create innovative solutions for various domains, such as manufacturing, exploration, entertainment, or healthcare.

6. Judgment and Decision Making: This is the ability to make informed and rational decisions based on available information and goals in robotics. Judgment and decision-making help roboticists to choose the best design, development, testing, and maintenance strategies for robots and robotic systems. Judgment and decision-making also help roboticists evaluate the risks, benefits, costs, and ethics of their decisions in robotics.

7. Good Communication: This is the ability to communicate effectively with different audiences and stakeholders in robotics. Good communication helps roboticists to express their ideas clearly and persuasively in oral or written forms. Roboticists also need good communication skills to collaborate with other engineers, researchers, programmers, technicians, managers, customers, or users in robotics.

8. Technology Design: This is the ability to create or modify the hardware that supports the robots and robotic systems. Technology design helps roboticists design, build, test, and improve the mechanical, electrical, or electronic components of robots and robotic systems. Technology design also helps roboticists to integrate various hardware devices, such as sensors, actuators, or cameras, into a functional robot or robotic system.

9. Complex Problem Solving: This is the ability to identify, analyze, and solve complex problems that arise in robotics. Complex problem-solving helps roboticists deal with uncertainty, ambiguity, and change in robotics. Complex problem-solving also helps roboticists find optimal solutions that balance multiple constraints, such as performance, efficiency, safety, or reliability.

10. Persistence: This is the ability to persevere and overcome challenges and difficulties in robotics. Persistence helps roboticists to cope with failures, errors, or bugs in robotics. Persistence also helps roboticists to learn from their mistakes and improve their skills and knowledge in robotics.