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Course Outline
Introduction to Human-Robot Interaction
- An overview of HRI and its multidisciplinary scope.
- Key applications across industry, healthcare, and service robotics.
- Applying human-centred design principles to interactive systems.
Voice Interaction and Speech-Based Control
- Foundations of speech recognition and natural language understanding.
- Building voice commands and responses using Python.
- Integrating speech interfaces with ROS-based robotic platforms.
Gesture Recognition and Nonverbal Communication
- The role of gestures and body language in human–robot dialogue.
- Utilising 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 both physical and cognitive interactions.
- Integrating sensor feedback and adaptive control for cooperative tasks.
Designing Multimodal Interaction Systems
- Synthesising voice, gesture, and visual feedback channels.
- Managing context and user intent within multimodal frameworks.
- Developing a basic 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 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 grasp of fundamental 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 exploring human–robot collaboration.
- Product designers developing interactive or assistive robotic solutions.
- Engineers investigating multimodal interaction and advanced 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.
