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Course Outline
Introduction to Human-Robot Interaction
- Overview of HRI and its cross-disciplinary scope.
- Real-world applications in industry, healthcare, and service robotics.
- Human-centered design principles for building interactive systems.
Voice Interaction and Speech-Based Control
- Foundations of speech recognition and natural language understanding.
- Crafting voice commands and responses using Python.
- Connecting speech interfaces to ROS-based robotic platforms.
Gesture Recognition and Nonverbal Communication
- The importance of gestures and body language in robot communication.
- Leveraging computer vision for gesture detection and classification.
- Building real-time gesture recognition tools with OpenCV and AI models.
Collaborative and Shared Control
- Key principles of human-robot collaboration and shared autonomy.
- Safety protocols for both physical and cognitive interactions.
- Integrating sensor feedback and adaptive control for cooperative tasks.
Designing Multimodal Interaction Systems
- Synthesizing voice, gestures, and visual feedback into a cohesive experience.
- Managing context and interpreting 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 implications of collaborative robotics.
- Assessing the usability and safety of interaction interfaces.
Hands-on Project: Building a Voice and Gesture-Controlled Collaborative Robot
- Defining system architecture and establishing interaction modes.
- Developing and integrating speech and gesture modules.
- Testing and validating the complete HRI prototype.
Summary and Next Steps
Requirements
- Fundamental knowledge of robotics concepts and Python programming.
- Basic familiarity with human-machine interfaces or control systems.
- A keen interest in interaction design, perception technologies, or applied AI.
Target Audience
- HRI researchers focusing on human-robot collaboration.
- Product designers creating interactive or assistive robotic solutions.
- Engineers exploring 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.
