Overview

H2020 PERSEO was a European research project focused on developing personalized robotics as service-oriented applications. The project aimed to create adaptive robotic systems that can provide tailored services to individuals in various contexts, including healthcare, education, and social interaction.

Objectives

1. Develop service-oriented robotic architectures for personalized applications
2. Create adaptive interaction frameworks that learn from user behavior
3. Implement multi-modal interaction capabilities (speech, gesture, touch)
4. Evaluate robotic services in real-world scenarios

Key Achievements

• Service-Oriented Architecture: Developed a flexible framework for robotic services
• Personalization Engine: Created AI-driven personalization algorithms
• Multi-Robot Coordination: Implemented systems for collaborative robotic services
• Real-World Deployment: Tested in healthcare and educational settings

Technology Stack

• ROS 2 for robot control and coordination
• Machine Learning for behavior adaptation
• Natural Language Processing for conversational interfaces
• Computer Vision for environmental awareness
• Cloud Robotics for distributed intelligence

Impact

The PERSEO project contributed significantly to the field of service robotics by:

• Advancing personalized human-robot interaction
• Developing reusable robotic service components
• Creating open-source tools for the robotics community
• Demonstrating real-world applications of service robotics

Legacy

While the PERSEO project has concluded, its outcomes continue to influence ongoing research in social robotics and personalized robotic services. The project’s open-source contributions remain available for researchers and developers.