ROBOTICS AND ARTIFICIAL INTELLIGENCE
JNNCE is proud to introduce a course in Robotics and Artificial Intelligence with an intake of 60. Robotics and artificial intelligence engineering is an interdisciplinary engineering field that combines principles of mechanical, electrical, computer, system, and mechatronics engineering. It covers the advanced machine design with a computer-based controller, which is the mechatronics system concept. The advanced machine design with the advanced automatic control design would increase the system mechanism performance. Moreover, electrical engineering, computer-based automatic control, and artificial intelligence algorithm would enhance the system to be more intelligent and be able to complete complicated tasks.
Robotics and artificial intelligence engineer can also work in manufacturing industry which adopts the advanced robots and automation process, as they have the knowledge of machinery design and computer. Moreover, they can work on international/domestic research and development area and other areas such as
- Mechatronics engineer
- Mechanical engineer in modern industry
- Artificial intelligence and computer engineer
- Electrical engineer in modern industry
- Machine design and control engineer
- Precision machine design engineer
- Automotive and automation engineer
- Maintenance engineer and etc.
Welcome to the Robot Simulation Lab in the department of Robotics and Artificial intelligence
Our college proudly introduces the Robot Simulation Lab, a cutting-edge facility equipped with RoboDK software. This powerful tool enables students to simulate, program, and analyze robotic systems with high precision and efficiency.
By using RoboDK, students gain hands-on experience with real-world robotic systems in a virtual environment.
Key Features of RoboDK:
- Wide Range of Robot Models:
- Offline Programming:
- Accurate Simulation:
- User-Friendly Interface:
- Versatile Applications: Experiments Conducted in the Lab
Our Robot Simulation Lab leverages RoboDK to conduct the following five key experiments, providing students with a comprehensive learning experience:
- Robotic Arm Kinematics and Dynamics:
- Path Planning and Motion Control:
- Robotic Welding Simulation:
- Assembly Line Automation:
- Collision Detection and Avoidance:
Learning Outcomes
By engaging with these experiments, students will:
- Gain practical knowledge of robotic simulation and programming.
- Develop problem-solving skills applicable to real-world robotic applications.
- Understand the integration of robotics in various industrial processes.
- Enhance their ability to design, implement, and optimize robotic systems.
URL:https://robodk.com/
