Navigating to objects in the real world
Semantic navigation is necessary to deploy mobile robots in uncontrolled environments
such as homes or hospitals. Many learning-based approaches have been proposed in …
such as homes or hospitals. Many learning-based approaches have been proposed in …
Habitat-matterport 3d semantics dataset
Abstract We present the Habitat-Matterport 3D Semantics (HM3DSEM) dataset. HM3DSEM
is the largest dataset of 3D real-world spaces with densely annotated semantics that is …
is the largest dataset of 3D real-world spaces with densely annotated semantics that is …
Clip-fields: Weakly supervised semantic fields for robotic memory
We propose CLIP-Fields, an implicit scene model that can be used for a variety of tasks,
such as segmentation, instance identification, semantic search over space, and view …
such as segmentation, instance identification, semantic search over space, and view …
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 …
A review of platforms for simulating embodied agents in 3D virtual environments
The unprecedented rise in research interest in artificial intelligence (AI) and related areas,
such as computer vision, machine learning, robotics, and cognitive science, during the last …
such as computer vision, machine learning, robotics, and cognitive science, during the last …
Embodied AI in education: A review on the body, environment, and mind
B Memarian, T Doleck - Education and Information Technologies, 2024 - Springer
A key feature of embodied education is the participation of the learners' body and mind with
the environment. Yet, little work has been done to review the state of embodied education …
the environment. Yet, little work has been done to review the state of embodied education …
Goat: Go to any thing
In deployment scenarios such as homes and warehouses, mobile robots are expected to
autonomously navigate for extended periods, seamlessly executing tasks articulated in …
autonomously navigate for extended periods, seamlessly executing tasks articulated in …
3d-aware object goal navigation via simultaneous exploration and identification
Object goal navigation (ObjectNav) in unseen environments is a fundamental task for
Embodied AI. Agents in existing works learn ObjectNav policies based on 2D maps, scene …
Embodied AI. Agents in existing works learn ObjectNav policies based on 2D maps, scene …
Annotator: A generic active learning baseline for lidar semantic segmentation
Active learning, a label-efficient paradigm, empowers models to interactively query an oracle
for labeling new data. In the realm of LiDAR semantic segmentation, the challenges stem …
for labeling new data. In the realm of LiDAR semantic segmentation, the challenges stem …
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 …