Project overview

SWEET aims to develop socially aware service robots that perceive, interpret, and respond to human emotions, intentions, and cultural differences. The project integrates AI, cybernetics, and multi-agent systems to ensure robots comply with social norms and expectations, enhancing human-robot interaction. PAL Robotics leads the Human and Context Awareness work package, developing advanced perception and social embedding techniques to enable robots to interact naturally and ethically in real-world environments. Additionally, PAL supervises PhD research, manages result exploitation, and hosts key networking events to advance socially responsible robotics.

252 k
project funding
23
partners involved
10
countries involved
Project SWEET

Our Role

PAL Robotics will play a crucial role in the SWEET project, leading advancements in human and context awareness for socially aware service robots. We will focus on enabling robots to perceive, interpret, and respond to human emotions, intentions, and social conventions, ensuring seamless interaction and acceptance in real-world environments. As the leader of Work Package 3 (Human and Context Awareness), PAL Robotics will contribute expertise in robot perception, social embeddings, and non-verbal communication analysis.

Additionally, PAL will host and supervise ESR4, a dedicated researcher pursuing a PhD at UPC, and provide support for three secondment students from SHU, CSIC, and UEX. Our team will also oversee the management of results exploitation and impact, ensuring that the research findings translate into meaningful advancements for robotics and AI-driven social interaction.

Key Responsibilities

  • Lead Work Package 3 (Human and Context Awareness) to develop advanced perception and social interaction capabilities for service robots.
  • Supervise ESR4 during their PhD research at UPC, guiding them in developing socially aware robotics functionalities.
  • Develop social embedding techniques, allowing robots to understand and adapt to human behaviors, emotions, and cultural differences.
  • Contribute to the study of soft and transferable skills, enhancing the ability of robots to engage naturally in human environments.
  • Ensure secure multimodal interaction by protecting user privacy and fostering ethical AI-driven robotic behavior.
  • Manage the exploitation and impact of research results, facilitating knowledge transfer and future adoption in real-world applications.
  • Organize the project’s main networking event, a workshop in M36, bringing together experts to discuss and advance socially aware robotics.

Partners

Logo of PAL Robotics
University of Naples logo in their collaboration with PAL Robotics
Logo of the Universidad de Extremadura
University of Hamburg logo
Logo of ENSTA Paris
NAVER Labs logo
Logo of UseBOW
Furhat Robotics
Tyndall National Institute Logo
United Robotics logo
University of Oslo logo
KAIST logo
RT Corporation logo
Logo of foundation IDIS 'City of Science'
K For Business lovo
Logo of Alisys
Logo of the hospital Vall d'Hebron
University of Bielefeld logo