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Course Outline
Foundations of Human-Robot Interaction
- An overview of HRI and its interdisciplinary scope
- Key applications across industrial, healthcare, and service robotics sectors
- Applying human-centered design principles to interactive systems
Voice Interaction and Speech-Based Control
- Essentials of speech recognition and natural language processing
- Building voice command 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
- Utilizing computer vision for detecting and classifying gestures
- Building real-time recognition pipelines with OpenCV and AI models
Collaborative and Shared Control
- Core concepts of human–robot teamwork and shared autonomy
- Establishing safety frameworks for physical and cognitive interaction
- Incorporating sensor data and adaptive control for cooperative tasks
Architecting Multimodal Interaction Systems
- Synthesizing voice, gesture, and visual feedback channels
- Handling context and interpreting user intent in multimodal environments
- Developing a basic multimodal HRI prototype within a simulation
Human Factors, Ethics, and Safety in HRI
- Analyzing human perception, trust, and acceptance of robotic systems
- Navigating ethical implications in collaborative robotics
- Measuring the usability and safety of interaction interfaces
Capstone Project: Developing a Voice and Gesture-Controlled Collaborative Robot
- Defining system architecture and specifying interaction modes
- Developing and testing speech and gesture functional modules
- Integrating and validating the complete HRI prototype
Recap and Future Directions
Requirements
- Fundamental knowledge of robotics concepts and Python programming.
- Exposure to human–machine interfaces or control system fundamentals.
- A professional interest in interaction design, perception systems, or applied AI.
Target Audience
- HRI researchers investigating human–robot collaboration dynamics.
- Product designers creating interactive or assistive robotic products.
- Engineers investigating multimodal interaction and control system architectures.
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.
