From the 1 of 6 linked papers with an AI index.
6 papers
Think When It Matters: Conditional VLM Reasoning for Social Navigation with RL Policies
Ali Ahmadi, Hamed Rahimi, Adrien Jacquet Cretides +3
The paper presents HUMA, a hybrid system that combines a reactive reinforcement learning navigation policy with a conditional vision-language model to improve semantic and social r…
HARMONI: Multimodal Personalization of Multi-User Human-Robot Interactions with LLMs
Jeanne Malécot, Hamed Rahimi, Jeanne Cattoni +5
Existing human-robot interaction systems often lack mechanisms for sustained personalization and dynamic adaptation in multi-user environments, limiting their effectiveness in real…
Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind
Mouad Abrini, Omri Abend, Dina Acklin +105
This volume includes a selection of papers presented at the Workshop on Advancing Artificial Intelligence through Theory of Mind held at AAAI 2025 in Philadelphia US on 3rd March 2…
Reasoning LLMs for User-Aware Multimodal Conversational Agents
Hamed Rahimi, Jeanne Cattoni, Meriem Beghili +4
Personalization in social robotics is critical for fostering effective human-robot interactions, yet systems often face the cold start problem, where initial user preferences or ch…
USER-VLM 360: Personalized Vision Language Models with User-aware Tuning for Social Human-Robot Interactions
Hamed Rahimi, Adil Bahaj, Mouad Abrini +3
The integration of vision-language models into robotic systems constitutes a significant advancement in enabling machines to interact with their surroundings in a more intuitive ma…
Demographic User Modeling for Social Robotics with Multimodal Pre-trained Models
Hamed Rahimi, Mouad Abrini, Mahdi Khoramshahi +1
This paper investigates the performance of multimodal pre-trained models in user profiling tasks based on visual-linguistic demographic data. These models are critical for adapting…