1 citations · 1 across the 14 of their papers we have counts for
15 papers
A Sim-to-Real Integration Pipeline for Training and Deployment of Chunk-Based VLA Manipulation Policies
Mathilde Kappel, Clémence Grislain, Mohamed Chetouani +5
Vision-Language-Action (VLA) models have become a prominent paradigm for mapping multimodal inputs, including semantic instructions, visual observations of the scene, and proprioce…
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…
PRISM: Perception Reasoning Interleaved for Sequential Decision Making
Mohamed Salim Aissi, Clemence Grislain, Clement Romac +4
Scaling LLM-based embodied agents from text-only environments to complex multimodal settings remains a major challenge. Recent work identifies a perception-reasoning-decision gap i…
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…
CLUE: Crossmodal disambiguation via Language-vision Understanding with attEntion
Mouad Abrini, Mohamed Chetouani
With the increasing integration of robots into daily life, human-robot interaction has become more complex and multifaceted. A critical component of this interaction is Interactive…
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…
PediatricsMQA: a Multi-modal Pediatrics Question Answering Benchmark
Adil Bahaj, Oumaima Fadi, Mohamed Chetouani +1
Large language models (LLMs) and vision-augmented LLMs (VLMs) have significantly advanced medical informatics, diagnostics, and decision support. However, these models exhibit syst…
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…
Task-Aware Robotic Grasping by evaluating Quality Diversity Solutions through Foundation Models
Aurel X. Appius, Emiland Garrabe, Francois Helenon +3
Task-aware robotic grasping is a challenging problem that requires the integration of semantic understanding and geometric reasoning. This paper proposes a novel framework that lev…
Upgrading Pepper Robot s Social Interaction with Advanced Hardware and Perception Enhancements
Paolo Magri, Javad Amirian, Mohamed Chetouani
In this paper, we propose hardware and software enhancements for the Pepper robot to improve its human-robot interaction capabilities. This includes the integration of an NVIDIA Je…
Legibot: Generating Legible Motions for Service Robots Using Cost-Based Local Planners
Javad Amirian, Mouad Abrini, Mohamed Chetouani
With the increasing presence of social robots in various environments and applications, there is an increasing need for these robots to exhibit socially-compliant behaviors. Legibl…