1 citations · 1 across the 10 of their papers we have counts for
10 papers
Think When It Matters: Conditional VLM Reasoning for Social Navigation with RL Policies
Ali Ahmadi, Hamed Rahimi, Adrien Jacquet Cretides +3
As mobile robots become more integrated into everyday human environments, social robot navigation is becoming essential for ensuring human comfort, safety, and trust. While reinfor…
IntentVLM: Open-Vocabulary Intention Recognition through Forward-Inverse Modeling with Video-Language Models
Hamed Rahimi, Clemence Grislain, Adrien Jacquet Cretides +2
Improving the effectiveness of human-robot interaction requires social robots to accurately infer human goals through robust intention understanding. This challenge is particularly…
Encoding Predictability and Legibility for Style-Conditioned Diffusion Policy
Adrien Jacquet Crétides, Mouad Abrini, Hamed Rahimi +1
Striking a balance between efficiency and transparent motion is a core challenge in human-robot collaboration, as highly expressive movements often incur unnecessary time and energ…
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…
I-FailSense: Towards General Robotic Failure Detection with Vision-Language Models
Clemence Grislain, Hamed Rahimi, Olivier Sigaud +1
Language-conditioned robotic manipulation in open-world settings requires not only accurate task execution but also the ability to detect failures for robust deployment in real-wor…
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…
Gauging Overprecision in LLMs: An Empirical Study
Adil Bahaj, Hamed Rahimi, Mohamed Chetouani +1
Recently, overconfidence in large language models (LLMs) has garnered considerable attention due to its fundamental importance in quantifying the trustworthiness of LLM generation.…
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…