Employment prospect of intelligent robot technology

The employment prospect of robot engineering specialty is very broad and attractive. With the continuous development of science and technology, the demand for automation and intelligence is increasing, and the demand for robot engineers is also increasing.

1. Automation industry: Robot engineers have good employment opportunities in the automation industry. They can participate in the design, development and maintenance of various types of automation systems and robots, including factory robots, agricultural robots, medical robots and driverless cars.

2. Manufacturing industry: Robots play an important role in manufacturing industry, which can improve production efficiency, quality control and automated processes. Robot engineers can engage in robot integration, programming and maintenance in the manufacturing field.

3. Logistics warehousing: With the rapid development of e-commerce and the increase of global trade, the demand for robots in logistics warehousing industry is increasing. Robot engineers can participate in the development and application of logistics robots, automated warehouse systems and distribution robots.

4. Health care: Robots are more and more widely used in health care. Robots can be used for surgical assistance, rehabilitation treatment, ward service and so on. Robot engineers can work in medical device manufacturing companies, hospitals or scientific research institutions.

5. Agriculture and food production: Agricultural robots play an important role in improving agricultural production efficiency, precision agriculture and agricultural monitoring. Robot engineers can participate in the development and application of agricultural robots, unmanned agricultural equipment and intelligent agricultural systems.

6. Scientific research and academic institutions: Robot engineers also have good employment opportunities in scientific research and academic institutions. They can participate in robot-related research projects, education and training.

More and more companies and industries are beginning to realize the potential of robots and automation, so the employment prospects of robot engineers are very promising. However, because robot engineering is a multidisciplinary field, besides technical skills, it is also important to have communication skills, innovative thinking, teamwork and problem-solving skills. With the development of technology and the accumulation of work experience, robot engineers can also develop into project managers, technical consultants or entrepreneurs.

Learning content of robot engineering specialty

1, robot modeling and kinematics: learning the structure, kinematics and dynamics of robots. Master basic robot modeling methods and kinematics algorithms, and understand the movement and performance of robots.

2. Sensors and perception: Understand different types of sensors, such as lidar, camera and force sensor. Learn how to use sensors to obtain environmental information in order to realize the robot's perception ability and environmental perception algorithm.

3. Control system and motion planning: learn the theory and technology of control system, including PID control, feedback control and model predictive control. Master the path planning and motion planning methods of the robot to realize accurate and reliable robot motion.

4. Artificial intelligence and machine learning: Understand the basic principles and algorithms of artificial intelligence and machine learning. Learn how to apply artificial intelligence and machine learning to robot control, perception and decision-making. To improve the autonomy and intelligence of the robot.

5. Robot Operating System: Learn the technology of using and developing the robot operating system (ROS). Understand the structure and function of ROS, and how to use ROS to write software programs for robot control and perception.

6. Robot design and manufacturing: learn the structural design and manufacturing technology of robots. Understand the design principle, mechanism design, material selection and manufacturing technology of the robot, so as to design and manufacture the actual robot system.