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Large language models for robotics: A survey
The human ability to learn, generalize, and control complex manipulation tasks through multi-
modality feedback suggests a unique capability, which we refer to as dexterity intelligence …
modality feedback suggests a unique capability, which we refer to as dexterity intelligence …
Challenges and solutions for autonomous ground robot scene understanding and navigation in unstructured outdoor environments: A review
The capabilities of autonomous mobile robotic systems have been steadily improving due to
recent advancements in computer science, engineering, and related disciplines such as …
recent advancements in computer science, engineering, and related disciplines such as …
Panoptic neural fields: A semantic object-aware neural scene representation
We present PanopticNeRF, an object-aware neural scene representation that decomposes
a scene into a set of objects (things) and background (stuff). Each object is represented by a …
a scene into a set of objects (things) and background (stuff). Each object is represented by a …
[HTML][HTML] A survey on robot semantic navigation systems for indoor environments
Robot autonomous navigation has become a vital area in the industrial development of
minimizing labor-intensive tasks. Most of the recently developed robot navigation systems …
minimizing labor-intensive tasks. Most of the recently developed robot navigation systems …
Spatialbot: Precise spatial understanding with vision language models
Vision Language Models (VLMs) have achieved impressive performance in 2D image
understanding, however they are still struggling with spatial understanding which is the …
understanding, however they are still struggling with spatial understanding which is the …
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 …
[HTML][HTML] Live semantic data from building digital twins for robot navigation: Overview of data transfer methods
Increasing reliance on automation and robotization presents great opportunities to improve
the management of construction sites as well as existing buildings. Crucial in the use of …
the management of construction sites as well as existing buildings. Crucial in the use of …
[PDF][PDF] A one decade survey of autonomous mobile robot systems
Recently, autonomous mobile robots have gained popularity in the modern world due to
their relevance technology and application in real world situations. The global market for …
their relevance technology and application in real world situations. The global market for …
Synthetic image data generation using BIM and computer graphics for building scene understanding
Vision-based building scene understanding (BSU) is essential to many applications such as
indoor navigation and 3D reconstruction. Deep learning excels in various BSU tasks but its …
indoor navigation and 3D reconstruction. Deep learning excels in various BSU tasks but its …
Modeling dynamic environments with scene graph memory
Embodied AI agents that search for objects in large environments such as households often
need to make efficient decisions by predicting object locations based on partial information …
need to make efficient decisions by predicting object locations based on partial information …