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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 creating interactive systems.
Voice Interaction and Speech-Based Control
- Foundations of speech recognition and natural language understanding.
- Creating 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.
- Leveraging computer vision for gesture detection and classification.
- Building real-time gesture recognition systems using 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.
- Incorporating 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.
- Building a simple multimodal HRI prototype in a simulation environment.
Human Factors, Ethics, and Safety in HRI
- Human perception, trust, and acceptance in robotic contexts.
- Ethical implications in collaborative robotics.
- Evaluating the usability and safety of interaction interfaces.
Practical Project: Developing 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 basic robotics concepts and Python programming.
- Experience with human–machine interfaces or control systems.
- A genuine 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 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.
