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Renderable neural radiance map for visual navigation
We propose a novel type of map for visual navigation, a renderable neural radiance map
(RNR-Map), which is designed to contain the overall visual information of a 3D environment …
(RNR-Map), which is designed to contain the overall visual information of a 3D environment …
Nerf in the palm of your hand: Corrective augmentation for robotics via novel-view synthesis
Expert demonstrations are a rich source of supervision for training visual robotic
manipulation policies, but imitation learning methods often require either a large number of …
manipulation policies, but imitation learning methods often require either a large number of …
Rgbgrasp: Image-based object gras** by capturing multiple views during robot arm movement with neural radiance fields
Robotic research encounters a significant hurdle when it comes to the intricate task of
gras** objects that come in various shapes, materials, and textures. Unlike many prior …
gras** objects that come in various shapes, materials, and textures. Unlike many prior …
Diva-360: The dynamic visual dataset for immersive neural fields
Advances in neural fields are enabling high-fidelity capture of the shape and appearance of
dynamic 3D scenes. However their capabilities lag behind those offered by conventional …
dynamic 3D scenes. However their capabilities lag behind those offered by conventional …
Neural Fields in Robotics: A Survey
Neural Fields have emerged as a transformative approach for 3D scene representation in
computer vision and robotics, enabling accurate inference of geometry, 3D semantics, and …
computer vision and robotics, enabling accurate inference of geometry, 3D semantics, and …
FuncGrasp: Learning Object-Centric Neural Grasp Functions from Single Annotated Example Object
We present FuncGrasp, a framework that can infer dense yet reliable grasp configurations
for unseen objects using one annotated object and single-view RGB-D observation via …
for unseen objects using one annotated object and single-view RGB-D observation via …
Dreamup3d: Object-centric generative models for single-view 3d scene understanding and real-to-sim transfer
3D scene understanding for robotic applications exhibits a unique set of requirements
including real-time inference, object-centric latent representation learning, accurate 6D pose …
including real-time inference, object-centric latent representation learning, accurate 6D pose …
Diffusion meets dagger: Supercharging eye-in-hand imitation learning
A common failure mode for policies trained with imitation is compounding execution errors at
test time. When the learned policy encounters states that are not present in the expert …
test time. When the learned policy encounters states that are not present in the expert …
[PDF][PDF] Implicit neural representation for 3d shape reconstruction using vision-based tactile sensing
M Comi, A Church, K Li, L Aitchison, NF Lepora - 2023 - shanluo.github.io
Humans rely on their senses of vision and touch to build a 3D understanding of their
physical surroundings. This understanding is critical in various fields of robotics, including …
physical surroundings. This understanding is critical in various fields of robotics, including …
[PDF][PDF] Robotics: An Idiosyncratic Snapshot in the Age of LLMs
Robotics: An Idiosyncratic Snapshot in the Age of LLMs Page 1 Robotics: An Idiosyncratic
Snapshot in the Age of LLMs Anirudha Majumdar August 2, 2023 1 Introduction The goal of …
Snapshot in the Age of LLMs Anirudha Majumdar August 2, 2023 1 Introduction The goal of …