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Course Outline
Introduction to Human-Robot Interaction
- An overview of HRI and its interdisciplinary scope.
- Real-world applications in industrial, healthcare, and service robotics.
- Human-centered design approaches for interactive systems.
Voice Interaction and Speech-Based Control
- Fundamentals of speech recognition and natural language processing.
- Creating voice commands and responses using Python.
- Connecting speech interfaces with ROS-based robotic platforms.
Gesture Recognition and Nonverbal Communication
- The impact of gestures and body language on human-robot dialogue.
- Leveraging computer vision for gesture detection and categorization.
- Implementing real-time gesture recognition using OpenCV and AI models.
Collaborative and Shared Control
- Core principles of human-robot collaboration and shared autonomy.
- Safety protocols for physical and cognitive interactions.
- Integrating sensor feedback and adaptive control for cooperative tasks.
Designing Multimodal Interaction Systems
- Synthesizing voice, gesture, and visual feedback channels.
- Managing context and user intent within multimodal frameworks.
- Building a basic multimodal HRI prototype in a simulated environment.
Human Factors, Ethics, and Safety in HRI
- Understanding human perception, trust, and acceptance of robotic systems.
- Ethical implications in collaborative robotics.
- Measuring the usability and safety of interaction interfaces.
Hands-on Project: Building a Voice and Gesture-Controlled Collaborative Robot
- Architecting the system and defining interaction modes.
- Implementing speech and gesture processing modules.
- Assembling and testing the complete HRI prototype.
Summary and Next Steps
Requirements
- Foundational knowledge of robotics concepts and Python programming.
- Familiarity with human-machine interfaces or control systems.
- A keen interest in interaction design, perception, or applied artificial intelligence.
Target Audience
- Researchers specializing in human-robot collaboration.
- Product designers creating interactive or assistive robotic solutions.
- 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.
