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Foundation models in robotics: Applications, challenges, and the future
We survey applications of pretrained foundation models in robotics. Traditional deep
learning models in robotics are trained on small datasets tailored for specific tasks, which …
learning models in robotics are trained on small datasets tailored for specific tasks, which …
Conceptgraphs: Open-vocabulary 3d scene graphs for perception and planning
For robots to perform a wide variety of tasks, they require a 3D representation of the world
that is semantically rich, yet compact and efficient for task-driven perception and planning …
that is semantically rich, yet compact and efficient for task-driven perception and planning …
Benchmarking neural radiance fields for autonomous robots: An overview
Abstract Neural Radiance Field (NeRF) has emerged as a powerful paradigm for scene
representation, offering high-fidelity renderings and reconstructions from a set of sparse and …
representation, offering high-fidelity renderings and reconstructions from a set of sparse and …
On bringing robots home
NMM Shafiullah, A Rai, H Etukuru, Y Liu, I Misra… - ar**
Constructing a 3D scene capable of accommodating open-ended language queries, is a
pivotal pursuit in the domain of robotics, which facilitates robots in executing object …
pivotal pursuit in the domain of robotics, which facilitates robots in executing object …
Physical property understanding from language-embedded feature fields
Can computers perceive the physical properties of objects solely through vision? Research
in cognitive science and vision science has shown that humans excel at identifying materials …
in cognitive science and vision science has shown that humans excel at identifying materials …
One-shot open affordance learning with foundation models
Abstract We introduce One-shot Open Affordance Learning (OOAL) where a model is trained
with just one example per base object category but is expected to identify novel objects and …
with just one example per base object category but is expected to identify novel objects and …