Robotics & Machine Learning Systems

Intelligent machines have the potential to improve people's lives. Combining robotics and artificial intelligence/machine learning creates robots that adapt to different situations and improve their performance as they collect information from sensors, process that information to understand patterns, and make decisions based on those patterns.
This helps us create robots that can assist us in various tasks, from exploring space to helping with healthcare. It's a fascinating field that is constantly advancing and shaping the future of technology.

What can you do with Robotics and Machine Learning Systems?

The integration of these technologies spans across multiple industries, including aerospace, agriculture, healthcare and defense. Here are a few high-paying careers in the field of robotics and machine learning systems:
  • Robotics Engineers design and develop intelligent robots and software that can replace or replicate dangerous or time-consuming human tasks.
  • Artificial Intelligence Specialists develop algorithms and models for applications like autonomous vehicles, virtual assistants, and recommendation systems, valuable in technology and entertainment industries.
  • Data Scientists leverage machine learning techniques to extract insights and patterns from large datasets, developing predictive models to inform business decisions in finance and e-commerce.
  • Automation Engineers design and optimize production systems for efficiency and safety in manufacturing, logistics, and automotive industries.

What you'll study in Robotics and Machine Learning Systems

Mathematics courses such as calculus, linear algebra, and statistics provide the foundation for understanding the mathematical principles involved in machine learning. Computer engineering courses explore computer vision, control systems, artificial intelligence, and robotics, with hands-on projects in programming, data analysis, and working with robotic systems.

Contact the School of Engineering & Applied Science.

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502 E. Boone Avenue
Spokane, WA 99258-0026