103 citations · 221 across the 7 of their papers we have counts for
7 papers
VLN-PETL: Parameter-Efficient Transfer Learning for Vision-and-Language Navigation
Yanyuan Qiao, Zheng Yu, Qi Wu
The performance of the Vision-and-Language Navigation~(VLN) tasks has witnessed rapid progress recently thanks to the use of large pre-trained vision-and-language models. However,…
Scaling Data Generation in Vision-and-Language Navigation
Zun Wang, Jialu Li, Yicong Hong +6
Recent research in language-guided visual navigation has demonstrated a significant demand for the diversity of traversable environments and the quantity of supervision for trainin…
NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models
Gengze Zhou, Yicong Hong, Qi Wu
Trained with an unprecedented scale of data, large language models (LLMs) like ChatGPT and GPT-4 exhibit the emergence of significant reasoning abilities from model scaling. Such a…
Custom Sine Waves Are Enough for Imitation Learning of Bipedal Gaits with Different Styles
Qi Wu, Chong Zhang, Yanchen Liu
Not until recently, robust bipedal locomotion has been achieved through reinforcement learning. However, existing implementations rely heavily on insights and efforts from human ex…
Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation
Yicong Hong, Zun Wang, Qi Wu +1
Most existing works in vision-and-language navigation (VLN) focus on either discrete or continuous environments, training agents that cannot generalize across the two. The fundamen…
Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions
Jing Gu, Eliana Stefani, Qi Wu +2
A long-term goal of AI research is to build intelligent agents that can communicate with humans in natural language, perceive the environment, and perform real-world tasks. Vision-…
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Sourav Garg, Niko Sünderhauf, Feras Dayoub +9
For robots to navigate and interact more richly with the world around them, they will likely require a deeper understanding of the world in which they operate. In robotics and rela…