Robotics foundations in modeling, design, planning, and control. This class covers relevant results from geometry, kinematics, statics, dynamics, motion planning, and control, providing the basic methodologies and tools in robotics research and applications. Concepts and models are illustrated through physical robot platforms, interactive robot simulations, and video segments relevant to historical research developments or to emerging application areas in the field. (This course is cross listed with ME320.)

You Will Be Able To

• Design a robot with an optimal workspace
• Model a robot to sufficient precision
• Implement and tune a robot motion controller that exposes desired behavior
• Implement and tune a compliant robot motion/force controller that exposes desired behavior
• Implement and tune a vision-based robot motion controller that is robust to noise
• Assess limitations of traditional, model-based approaches, visualize these failure cases, and propose an approach on how they can be addressed (as assessed by bonus exercises in homework assignments)

What You Need to Succeed

• A conferred bachelor’s degree with an undergraduate GPA of 3.0 or better
• Knowledge of matrix algebra

What You Need To Get Started

Before enrolling in your first graduate course, you must complete an online application.

Don’t wait! While you can only enroll in courses during open enrollment periods, you can complete your online application at any time.

Once you have enrolled in a course, your application will be sent to the department for approval. You will receive an email notifying you of the department's decision after the enrollment period closes. You can also check your application status in your mystanfordconnection account at any time.

Learn more about the graduate application process.

How Much It Will Cost

Learn more about tuition and fees.