Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Foundations of Human-Robot Interaction
- An overview of HRI and its interdisciplinary scope.
- Real-world applications across industrial, healthcare, and service robotics sectors.
- Human-centered design methodologies for interactive robotic systems.
Voice Interaction and Speech-Driven Control
- Core concepts in speech recognition and natural language processing.
- Crafting voice commands and responses using Python.
- Connecting speech interfaces with ROS-based robotic platforms.
Gesture Recognition and Nonverbal Cues
- The significance of gestures and body language in robot communication.
- Leveraging computer vision for detecting and classifying gestures.
- Building real-time gesture recognition systems with OpenCV and AI models.
Collaborative and Shared Control Mechanisms
- Key principles of human-robot teaming and shared autonomy.
- Safety standards for physical and cognitive interactions.
- Utilizing sensor feedback and adaptive control for cooperative operations.
Architecting Multimodal Interaction Systems
- Synthesizing voice, gesture, and visual feedback channels.
- Managing context and interpreting user intent in complex systems.
- Developing a basic multimodal HRI prototype within a simulation environment.
Human Factors, Ethics, and Safety in HRI
- Understanding human perception, trust, and acceptance in robotic contexts.
- Ethical implications in the development of collaborative robots.
- Assessing the usability and safety of interaction interfaces.
Practical Project: Developing a Voice and Gesture-Controlled Collaborative Robot
- Defining the system architecture and interaction modes.
- Implementing the core speech and gesture modules.
- Integrating and validating the complete HRI prototype.
Conclusion and Future Directions
Requirements
- Fundamental knowledge of robotics concepts and proficiency in Python programming.
- Familiarity with human-machine interfaces or control system engineering.
- A strong interest in interaction design, perception technologies, or applied AI.
Target Audience
- HRI researchers focusing on human-robot collaborative tasks.
- Product designers creating interactive or assistive robotic solutions.
- Engineers investigating 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.
