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Course Outline
Introduction to Human-Robot Interaction
- Overview of HRI and its interdisciplinary scope
- Real-world applications in industry, healthcare, and service robotics
- Human-centered design principles for 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 robotic platforms
Gesture Recognition and Nonverbal Communication
- The significance of gestures and body language in human-robot dialogue
- Leveraging computer vision for detecting and classifying gestures
- Implementing real-time gesture recognition using OpenCV and AI models
Collaborative and Shared Control
- Core principles of human-robot collaboration and shared autonomy
- Safety frameworks for 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 frameworks
- Building a basic multimodal HRI prototype in a simulation environment
Human Factors, Ethics, and Safety in HRI
- Understanding human perception, trust, and acceptance in robotic systems
- Ethical considerations in collaborative robotics
- Assessing 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
- Developing 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.
- Basic familiarity 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 focused on developing 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.
