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Course Outline
Introduction to Human-Robot Interaction
- An overview of HRI and its multidisciplinary scope.
- Key applications in 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 using Python.
- Connecting speech interfaces with ROS-based robots.
Gesture Recognition and Nonverbal Communication
- The significance of gestures and body language in human–robot communication.
- Utilizing computer vision for gesture detection and classification.
- Building real-time gesture recognition systems with OpenCV and AI models.
Collaborative and Shared Control
- Core principles of human–robot collaboration and shared autonomy.
- Establishing safety frameworks for physical and cognitive interaction.
- Incorporating sensor feedback and adaptive control for cooperative tasks.
Designing Multimodal Interaction Systems
- Integrating voice, gesture, and visual feedback channels.
- Managing context and user intent within multimodal systems.
- Building a simple multimodal HRI prototype in a simulation environment.
Human Factors, Ethics, and Safety in HRI
- Human perception, trust, and acceptance in 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 the system architecture and defining interaction modes.
- Implementing the speech and gesture modules.
- Integrating and testing the complete HRI prototype.
Summary and Next Steps
Requirements
- A solid understanding of basic robotics concepts and proficiency in Python programming.
- Knowledge of human–machine interfaces or control systems.
- A strong interest in interaction design, perception, or applied AI.
Target Audience
- HRI researchers focused on human–robot collaboration.
- Product designers working on interactive or assistive robots.
- Engineers exploring 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.
