Online based
Downloadable exercise
Offline viewing
Fixed/flex schedule
Fixed time homework
Certificate of completion
Objectives
- Design and implement advanced robotic systems, including mobile robots and manipulators.
- Apply kinematic and dynamic models to robot control and simulation.
- Utilize perception systems for robotic sensing and interaction with the environment.
- Develop algorithms for robot localization, mapping, and navigation.
- Integrate machine learning techniques with robotics for enhanced autonomous behavior.
- Analyze and solve complex problems related to robotics applications in industry and research.
Level Expectations
- Extensive exploration of advanced robotics topics and technologies.
- Practical projects and case studies to reinforce theoretical knowledge.
- Integration of the latest advancements in robotics and machine learning.
- Preparation for careers in robotics engineering, research, and development.
- Exposure to real-world applications and solutions from industry experts.
Content
- Introduction to Advanced Robotics
- Kinematics and Dynamics of Robots
- Robot Control Systems
- Robot Perception and Sensing
- Autonomous Robotics and Navigation
- Machine Learning in Robotics
- Robotic Applications and Case Studies
- Future Trends in Robotics