In the last year, the use of Large Language Models (LLMs) has rapidly spread in our society, opening challenges and opportunities in diverse fields from information retrieval to text classification, as well as robotic applications. In this last field, the majority of research studies focused on the exploration of the LLM potential in dialogue or chatting scenarios, with an increasing interest for planning and controlling robots in a more reactive and natural way, through language. This capability leads to amazing opportunities to create novel robotics applications, especially in those involving collaboration with humans through physical interaction.
The emergence of collaborative robots is becoming increasingly important as robots are shaping various aspects of human life. For example, in assistive environments, these solutions are meant to cater to the personal needs of the user, offering a personalized environment for communication, coping with the large behavioural differences or physical abilities between individuals. Investigating the “reasoning” potential to plan and control joint-action scenarios where the humanoid robot cooperates with the human represents a compelling interest for their potential future contribution in assistive contexts, not only in terms of AI architecture and accuracy, but also regarding safety, reliability feedback and social perception from the final users.
Contact
For any inquiries about the SPACE Workshop, please contact the organizing team at workshop_space@outlook.com