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Course Outline
Introduction to Human-Robot Interaction
- An overview of HRI and its inherently multidisciplinary character
- Real-world applications across industry, healthcare, and service robotics
- Human-centered design principles applied to interactive systems
Voice Interaction and Speech-Based Control
- Fundamentals of speech recognition and natural language understanding
- Building voice commands and response logic 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 gesture detection and classification
- Deploying real-time gesture recognition using OpenCV and AI models
Collaborative and Shared Control
- Core principles of human–robot collaboration and shared autonomy
- Safety frameworks governing physical and cognitive interaction
- Fusing sensor feedback with adaptive control for cooperative tasks
Designing Multimodal Interaction Systems
- Synthesizing voice, gesture, and visual feedback into a cohesive experience
- Navigating context and user intent within multimodal frameworks
- Developing a basic multimodal HRI prototype within a simulation environment
Human Factors, Ethics, and Safety in HRI
- Analyzing human perception, trust, and acceptance in robotic contexts
- Ethical implications of collaborative robotics
- Measuring the usability and safety of interaction interfaces
Hands-on Project: Building a Voice and Gesture-Controlled Collaborative Robot
- Structuring the system architecture and defining specific 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
- Exposure to human–machine interfaces or control systems
- A strong interest in interaction design, perception, or applied AI
Audience
- HRI researchers focused on human–robot collaboration
- Product designers working on interactive or assistive robotics
- 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.
