activity
20202024
most citedA call for embodied AI

4 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2024★ 3 cited

ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning

Christopher E. Mower, Yuhui Wan, Hongzhan Yu +20

We present a framework for intuitive robot programming by non-experts, leveraging natural language prompts and contextual information from the Robot Operating System (ROS). Our sys…

cs.AI2024★ 4 cited

A call for embodied AI

Giuseppe Paolo, Jonas Gonzalez-Billandon, Balázs Kégl

We propose Embodied AI as the next fundamental step in the pursuit of Artificial General Intelligence, juxtaposing it against current AI advancements, particularly Large Language M…

cs.AI2022

Guided Safe Shooting: model based reinforcement learning with safety constraints

Giuseppe Paolo, Jonas Gonzalez-Billandon, Albert Thomas +1

In the last decade, reinforcement learning successfully solved complex control tasks and decision-making problems, like the Go board game. Yet, there are few success stories when i…

cs.RO2021★ 1 cited

Cognitive architecture aided by working-memory for self-supervised multi-modal humans recognition

Jonas Gonzalez-Billandon, Giulia Belgiovine, Alessandra Sciutti +2

The ability to recognize human partners is an important social skill to build personalized and long-term human-robot interactions, especially in scenarios like education, care-givi…

cs.RO2020

Self-supervised reinforcement learning for speaker localisation with the iCub humanoid robot

Jonas Gonzalez-Billandon, Lukas Grasse, Matthew Tata +2

In the future robots will interact more and more with humans and will have to communicate naturally and efficiently. Automatic speech recognition systems (ASR) will play an importa…