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Course Outline
Introduction to Human-Robot Interaction
- An overview of HRI and its multidisciplinary scope
- Applications across industry, healthcare, and service robotics
- Human-centered design principles for interactive systems
Voice Interaction and Speech-Based Control
- Foundations of speech recognition and natural language understanding
- Building voice commands and responses using Python
- Connecting speech interfaces with ROS-based robots
Gesture Recognition and Nonverbal Communication
- The role of gestures and body language in human–robot communication
- Utilizing computer vision for gesture detection and classification
- Implementing real-time gesture recognition with OpenCV and AI models
Collaborative and Shared Control
- Core principles of human–robot collaboration and shared autonomy
- Safety frameworks for physical and cognitive interaction
- Integrating 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 systems
- Developing a simple multimodal HRI prototype in a simulated environment
Human Factors, Ethics, and Safety in HRI
- Human perception, trust, and acceptance in robotic systems
- Ethical considerations in collaborative robotics
- Assessing the usability and safety of interaction interfaces
Hands-on Project: Building a Voice and Gesture-Controlled Collaborative Robot
- Designing the system architecture and defining interaction modes
- Implementing speech and gesture modules
- Integrating and testing the complete HRI prototype
Summary and Next Steps
Requirements
- A foundational grasp of robotics concepts and Python programming
- Experience with human–machine interfaces or control systems
- A keen interest in interaction design, perception, or applied AI
Target Audience
- HRI researchers focusing on human–robot collaboration
- Product designers creating interactive or assistive robots
- Engineers investigating multimodal interaction and control systems
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.
