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Duration 21 hours (3 days)
Course Outline
Foundations of Human-Robot Interaction
- An overview of HRI and its interdisciplinary scope
- Use cases across industrial, healthcare, and service robotics sectors
- Human-centered design principles for creating interactive systems
Speech-Based Interaction and Control
- Essentials of speech recognition and natural language processing
- Building voice commands and responses using Python
- Connecting speech interfaces to ROS-based robotic platforms
Gesture Recognition and Nonverbal Cues
- The impact of gestures and body language on human–robot communication
- Leveraging computer vision for gesture detection and categorization
- Building real-time gesture recognition using OpenCV and AI models
Collaborative and Shared Control Mechanisms
- Theory of human–robot teamwork and shared autonomy
- Safety standards for physical and cognitive engagement
- Combining sensor feedback with adaptive control for cooperative operations
Architecting Multimodal Interaction Frameworks
- Synthesizing voice, gesture, and visual feedback channels
- Handling context and user intent within multimodal environments
- Constructing a basic multimodal HRI prototype within a simulation
Human Factors, Ethical Considerations, and Safety in HRI
- The role of human perception, trust, and acceptance in robotic systems
- Ethical dimensions of collaborative robotics
- Assessing the usability and safety of interaction interfaces
Practical Project: Developing a Voice and Gesture-Driven Collaborative Robot
- Defining system architecture and interaction modes
- Building the speech and gesture modules
- Integrating and validating the final HRI prototype
Recap and Future Directions
Requirements
- A foundational grasp of robotics concepts and Python programming
- Experience with human–machine interfaces or control systems
- A keen interest in interaction design, perception, or applied AI
Target Audience
- HRI researchers focused on human–robot collaboration
- Product designers working on interactive or assistive robots
- Engineers investigating multimodal interaction and control systems
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.
