ICANN'24 Best Paper Award

27 September 2024

In Lugano, at the 33rd International Conference on Artificial Neural Networks, Philipp Allgeuer received the Springer Best Paper Award from program chair Michael Wand for the paper “When Robots Get Chatty: Grounding Multimodal Human-Robot Conversation and Collaboration” . This paper by Philipp Allgeuer, Hassan Ali and Stefan Wermter investigates the use of Large Language Models (LLMs) to equip neural robotic agents with human-like social and cognitive competencies, for the purpose of open-ended human-robot conversation and collaboration. A modular and extensible methodology is introduced for grounding an LLM with the sensory perceptions and capabilities of a physical robot. The qualitative and quantitative results demonstrate the huge potential of LLMs in providing emergent cognition and interactive language-oriented control of robots in a natural and social manner.
The paper is Open Access and can be found here. Associated video of this paper is also reachable here.