3 papers
cs.RO2026
Latent Action Pretraining Through World Modeling
Bahey Tharwat, Yara Nasser, Ali Abouzeid +1
Vision-Language-Action (VLA) models have gained popularity for learning robotic manipulation tasks that follow language instructions. State-of-the-art VLAs, such as OpenVLA and $Ï…
cs.CL2025
Language and Planning in Robotic Navigation: A Multilingual Evaluation of State-of-the-Art Models
Malak Mansour, Ahmed Aly, Bahey Tharwat +3
Large Language Models (LLMs) such as GPT-4, trained on huge amount of datasets spanning multiple domains, exhibit significant reasoning, understanding, and planning capabilities ac…
cs.RO2025
Constraint-Aware Zero-Shot Vision-Language Navigation in Continuous Environments
Kehan Chen, Dong An, Yan Huang +5
We address the task of Vision-Language Navigation in Continuous Environments (VLN-CE) under the zero-shot setting. Zero-shot VLN-CE is particularly challenging due to the absence o…