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Course Outline
Introduction to Human-Robot Interaction
- Overview of HRI and its multidisciplinary scope
- Key applications across industry, healthcare, and service robotics
- Human-centered design principles for interactive systems
Voice Interaction and Speech-Based Control
- Fundamentals of speech recognition and natural language understanding
- Building voice commands and responses with Python
- Connecting speech interfaces to ROS-based robotic platforms
Gesture Recognition and Nonverbal Communication
- The role of gestures and body language in human–robot dialogue
- Applying computer vision for gesture detection and classification
- Implementing real-time gesture recognition using OpenCV and AI models
Collaborative and Shared Control
- Core principles of human–robot collaboration and shared autonomy
- Safety frameworks for physical and cognitive interactions
- Utilizing sensor feedback and adaptive control for cooperative tasks
Designing Multimodal Interaction Systems
- Synthesizing voice, gesture, and visual feedback
- Managing context and user intent within multimodal frameworks
- Building a simple multimodal HRI prototype in a simulated environment
Human Factors, Ethics, and Safety in HRI
- Human perception, trust, and acceptance of robotic systems
- Ethical considerations in collaborative robotics
- Evaluating the usability and safety of interaction interfaces
Hands-on Project: Building a Voice and Gesture-Controlled Collaborative Robot
- Designing system architecture and defining interaction modes
- Developing speech and gesture modules
- Integrating and testing the complete HRI prototype
Summary and Next Steps
Requirements
- A foundational understanding of robotics concepts and Python programming
- Familiarity with human–machine interfaces or control systems
- A keen interest in interaction design, perception technologies, or applied AI
Target Audience
- HRI researchers focused on human–robot collaboration
- Product designers working on interactive or assistive robots
- Engineers investigating multimodal interaction and control architectures
21 Hours
Testimonials (2)
Supply of the materials (virtual machine) to get straight into the excersises, and the explanation of the Ros2 core. Why things work a certain way.
Arjan Bakema
Course - Autonomous Navigation & SLAM with ROS 2
its knowledge and utilization of AI for Robotics in the Future.
