Embodied Artificial Intelligence for Industrial Robotics
Self-paced
Instructor: Dr. Carlo daCahuna, NAU Assistant Professor and Chair Electrical and Computer Engineering (ECE) in the School of Informatics
Full course description
Embodied Artificial Intelligence for Industrial Robotics
The Embodied Artificial Intelligence for Industrial Robotics workshops focuses on AI within robotics, its industrial relevance, and the practical, skill-building aspects of the subject. It covers AI concepts relevant to robotics like symbolic and sub-symbolic reasoning. It then moves to embodied AI and discusses how AI enables robots to perceive, reason, and act in real-world environments. We will discuss industrial applications such as process automation, quality control, and human-robot collaboration. This is a hands-on course involving programming AI models, integration with robotic systems, and testing models in simulated and real environments.
The target audience for this course is engineers, developers, and technical managers in industries like manufacturing, logistics, or automation who work with or aim to integrate AI-driven robotic systems. The course assumes some familiarity with programming and electrical/computer engineering concepts.
Some of the topics covered through the Embodied Artificial Intelligence for Industrial Robotics workshops include:
- Mastery of AI fundamentals for robotics.
- Practical programming skills.
- Hands-on experience with industrial scenarios.
- Ability to bridge theory and application.
- Proficiency with industry-standard tools.
- A portfolio of demonstrable work.
Course Instructor: Dr. Carlo daCunha, NAU Assistant Professor and Chair Electrical and Computer Engineering (ECE) in the School of Informatics
Prof. Carlo daCunha is an assistant professor and chair of Electrical and Computer Engineering (ECE) in the School of Informatics, Computing, and Cyber Systems (SICCS) at NAU. He holds a PhD in Electrical Engineering from Arizona State University (ASU) and a M.Sc. also in Electrical Engineering from West Virginia University (WVU). His research is on cognitive methods for multi-agent AI systems. He has taught courses in edge AI and agent-based AI.
About Custom Continuing Education Courses: Custom CE courses are designed to deliver practical action-oriented information based on the needs of your organization. Courses can be tailored in terms of content, modality, duration, location and price.
Credentials Offered: An NAU Certificate, Badge, or Continuing Education Units (CEUs) may be offered depending on the duration of the course developed for your organization.
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