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Course Outline
Introduction to Human-Robot Interaction
- Overview of HRI and its multidisciplinary scope
- Applications across industry, healthcare, and service robotics
- Human-centered design principles for interactive systems
Voice Interaction and Speech-Based Control
- Fundamentals of speech recognition and natural language understanding
- Creating voice commands and responses using Python
- Integrating speech interfaces with ROS-based robotic platforms
Gesture Recognition and Nonverbal Communication
- The significance of gestures and body language in human-robot communication
- Leveraging computer vision for gesture detection and classification
- Implementing real-time gesture recognition using OpenCV and AI models
Collaborative and Shared Control
- Principles governing human-robot collaboration and shared autonomy
- Safety frameworks for physical and cognitive interaction
- Integrating sensor feedback and adaptive control for cooperative tasks
Designing Multimodal Interaction Systems
- Synthesizing voice, gesture, and visual feedback
- Managing context and interpreting user intent in multimodal environments
- Building a simple multimodal HRI prototype within a simulation
Human Factors, Ethics, and Safety in HRI
- Human perception, trust, and acceptance in robotic systems
- Ethical considerations in collaborative robotics
- Assessing the usability and safety of interaction interfaces
Practical Project: Building a Voice and Gesture-Controlled Collaborative Robot
- Designing the system architecture and defining interaction modes
- Developing and integrating speech and gesture modules
- Testing and validating the complete HRI prototype
Summary and Next Steps
Requirements
- A foundational understanding of robotics concepts and proficiency in Python programming.
- Familiarity with human-machine interfaces or control systems.
- An interest in interaction design, perception, or applied artificial intelligence.
Target Audience
- HRI researchers focused on human-robot collaboration.
- Product designers developing 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.
