A Robotic Platform for Natural and Effective Human-Robot Interaction

Overview

Explore a Python-based humanoid robotic platform for natural human-robot interaction using speech, gestures, and facial expressions. Learn about its architecture, applications, and see a live demo.

Syllabus

• Introduction to Human-Robot Interaction (HRI)
Overview of HRI
Importance of natural interaction in robotics
Current trends and challenges
• Robotics Hardware and Architecture
Components of a humanoid robotic platform
Body construction and mechanical design
Sensor integration and data acquisition
• Software and Development Environment
Setting up a Python-based development environment
Overview of necessary libraries and tools
Introduction to robotic operating systems
• Speech Interaction
Fundamentals of speech recognition and synthesis
Implementing speech processing in Python
Designing conversational interfaces for robots
• Gesture Recognition and Interaction
Understanding human gestures for HRI
Using sensors and cameras to capture gestures
Implementing gesture recognition algorithms
• Facial Expression Analysis
Basics of facial recognition and emotion detection
Integrating facial expression analysis into HRI
Python libraries for facial expression processing
• Case Studies and Applications
Exploring real-world applications of HRI
Interactive robots in education, healthcare, and service
Reviewing successful robotic systems
• Live Demo and Hands-on Session
Demonstration of the robotic platform
Hands-on experience with programming interactions
Troubleshooting common issues
• Future Directions in Human-Robot Interaction
Emerging technologies in HRI
Ethical considerations and societal impact
Future research areas and opportunities
• Course Review and Q&A
Recap of key concepts and takeaways
Open floor for questions and discussion
Providing additional resources for further learning

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Subjects

Conference Talks