Contributo in atti di convegno, 2021, ENG, 10.1109/RO-MAN50785.2021.9515431

Simplifying the A.I. Planning modeling for Human-Robot Collaboration

Elisa Foderaro; Amedeo Cesta; Alessandro Umbrico; Andrea Orlandini;

ISTC-CNR

For an effective deployment in manufacturing, Collaborative Robots should be capable of adapting their behavior to the state of the environment and to keep the user safe and engaged during the interaction. Artificial Intelligence (AI) enables robots to autonomously operate understanding the environment, planning their tasks and acting to achieve some given goals. However, the effective deployment of AI technologies in real industrial environments is not straightforward. There is a need for engineering tools facilitating communication and interaction between AI engineers and Domain experts. This paper proposes a novel software tool, called TENANT (Tool fostEriNg Ai plaNning in roboTics) whose aim is to facilitate the use of AI planning technologies by providing domain experts like e.g., production engineers, with a graphical software framework to synthesize AI planning models abstracting from syntactic features of the underlying planning formalism.

30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN), pp. 1011–1016, Vancouver, Canada (Virtual Conference), 8/8/2021-12/8/2021

Keywords

Robot control Human-Robot Collaboration, Tools, Syntactics, Planning, Artificial intelligence

CNR authors

Foderaro Elisa, Orlandini Andrea, Umbrico Alessandro, Cesta Amedeo

CNR institutes

ISTC – Istituto di scienze e tecnologie della cognizione