Bird's-Eye-View Scene Graph for Vision-Language Navigation
Abstract Vision-language navigation (VLN), which entails an agent to navigate 3D
environments following human instructions, has shown great advances. However, current …
environments following human instructions, has shown great advances. However, current …
Gridmm: Grid memory map for vision-and-language navigation
Vision-and-language navigation (VLN) enables the agent to navigate to a remote location
following the natural language instruction in 3D environments. To represent the previously …
following the natural language instruction in 3D environments. To represent the previously …
Weakly-supervised multi-granularity map learning for vision-and-language navigation
We address a practical yet challenging problem of training robot agents to navigate in an
environment following a path described by some language instructions. The instructions …
environment following a path described by some language instructions. The instructions …
Shapo: Implicit representations for multi-object shape, appearance, and pose optimization
Our method studies the complex task of object-centric 3D understanding from a single RGB-
D observation. As it is an ill-posed problem, existing methods suffer from low performance …
D observation. As it is an ill-posed problem, existing methods suffer from low performance …
Bridging the gap between learning in discrete and continuous environments for vision-and-language navigation
Most existing works in vision-and-language navigation (VLN) focus on either discrete or
continuous environments, training agents that cannot generalize across the two. Although …
continuous environments, training agents that cannot generalize across the two. Although …
Learning navigational visual representations with semantic map supervision
Being able to perceive the semantics and the spatial structure of the environment is
essential for visual navigation of a household robot. However, most existing works only …
essential for visual navigation of a household robot. However, most existing works only …
Bevbert: Multimodal map pre-training for language-guided navigation
Large-scale pre-training has shown promising results on the vision-and-language
navigation (VLN) task. However, most existing pre-training methods employ discrete …
navigation (VLN) task. However, most existing pre-training methods employ discrete …
Etpnav: Evolving topological planning for vision-language navigation in continuous environments
Vision-language navigation is a task that requires an agent to follow instructions to navigate
in environments. It becomes increasingly crucial in the field of embodied AI, with potential …
in environments. It becomes increasingly crucial in the field of embodied AI, with potential …
Vision-and-language navigation today and tomorrow: A survey in the era of foundation models
Vision-and-Language Navigation (VLN) has gained increasing attention over recent years
and many approaches have emerged to advance their development. The remarkable …
and many approaches have emerged to advance their development. The remarkable …
Meta-explore: Exploratory hierarchical vision-and-language navigation using scene object spectrum grounding
The main challenge in vision-and-language navigation (VLN) is how to understand natural-
language instructions in an unseen environment. The main limitation of conventional VLN …
language instructions in an unseen environment. The main limitation of conventional VLN …