Pierre Teixeira

Enhancing Robustness in Language-Driven Robotics: A Modular Approach to Failure Reduction

Recent advances in large language models (LLMs) have led to significant progress in robotics, enabling embodied agents to understand and execute open-ended tasks. However, existing LLM-based approaches face limitations in grounding their outputs within the physical environment and aligning with the