(R4) Robot Behavior and Automation Design

Course Title: Robot Behavior and Automation Design

Duration: 4 Hours

Course Modalities:

• In-Classroom (166 West Main Street, Suite 204B, Mesa, AZ 85201)

Understanding how robots work, how to control them, and how they perceive the world is only part of building real robotic systems. The next step is defining how robots behave: how they respond to inputs, make decisions, and execute actions in dynamic environments.

This course focuses on designing robot behavior systems by connecting perception and control into meaningful actions. Participants will learn how to define behaviors, structure them using state-based logic, choose appropriate behavior strategies, and build systems that remain reliable in real-world conditions.

This half-day course focuses on how robotic systems translate inputs into actions through structured behavior design. Participants will explore how behaviors are defined, how control logic is organized using state-based systems, and how different behavior strategies are applied depending on task requirements.

The course emphasizes practical system-level thinking, enabling learners to design behaviors that respond effectively to perception inputs while maintaining reliability and predictability. Topics include behavior mapping, state machines, reactive and planned strategies, and handling variability in real-world environments.

Design behaviors for a real humanoid robot. In this course, you will see the ASIMOV V1 execute reactive responses, follow state-based logic, and fail when edge cases break its behavior design. You will understand why robots jam, freeze, and loop, and how to design behaviors that recover gracefully. During live sessions, you will trigger edge cases on the robot, observe how it handles unexpected inputs, and compare behavior designs that fail versus designs that recover.

By the end of the course, learners will be able to design structured robot behaviors, choose appropriate behavior strategies, and understand how to build systems that operate reliably under changing conditions, forming the foundation for intelligent and autonomous robotics systems.

Students will be able to:

• Explain how robot behaviors are defined as mappings from inputs to actions
• Describe how state-based systems structure robot behavior
• Differentiate between reactive, planned, and hybrid behavior strategies
• Analyze how behavior design choices affect system performance and reliability
• Design behavior logic for simple robotic tasks
• Identify common behavior failures and their causes
• Apply structured thinking to build reliable robot behavior systems

Modules:

• Behavior Design: From Inputs to Actions
• State-Based Systems & Control Logic
• Reactive and Planned Behavior Strategies
• Hybrid Strategies and the Selection Framework
• Edge Cases, Fallbacks, and Recovery
• Robustness, Monitoring, and Reliable Deployment
• Final Exam

AI Gurus Academy is Arizona’s leading AI and robotics training provider, delivering motion capture–enabled and hands-on education across Phoenix, Mesa, Scottsdale, Tempe, Chandler, Gilbert, Glendale, Peoria, Surprise, and the greater Phoenix metropolitan area, with online training available worldwide. Our programs now integrate advanced robotics systems training using the Asimov humanoid platform from Menlo Research, giving learners direct exposure to real-world robotic operation, perception, behavior design, and autonomous systems.

AI Gurus Academy provides applied artificial intelligence training, robotics education, and motion capture–enabled learning for individuals, creators, and organizations. We serve students, professionals, and employers across Arizona while supporting global learners through virtual instruction. We are the premier choice for individuals and organizations seeking to upskill in AI, robotics, and intelligent system deployment.

Our expanded programs cover AI fundamentals, applied AI workflows, generative AI, automation, computer vision, robotics systems, robot operation and control, perception systems, behavior design, and autonomous robotics. Training combines real-world instruction with hands-on interaction using the Asimov humanoid robot, enabling learners to understand how AI integrates with physical systems in production environments.

Our motion capture studio supports AI and robotics training across the Phoenix metro, including Mesa, Phoenix, Tempe, Scottsdale, and Chandler, enabling advanced learning in: AI-driven animation and simulation; computer vision and human movement modeling; robotics perception and sensor integration; AI for gaming, XR, robotics, and digital humans; and motion data for machine learning, autonomy development, and synthetic data generation.