Results 151 to 160 of about 1,549,240 (256)
VDNeRF: Vision‐Only Dynamic Neural Radiance Field for Urban Scenes
ABSTRACT Neural radiance fields (NeRFs) implicitly model continuous three‐dimensional scenes using a set of images with known camera poses, enabling the rendering of photorealistic novel views. However, existing NeRF‐based methods encounter challenges in applications such as autonomous driving and robotic perception, primarily due to the difficulty of ...
Zhengyu Zou +7 more
wiley +1 more source
DRG-LiteStar-YOLO: Reliability-Guided Pseudo-Depth Fusion for Dairy Goat Detection in Complex Barns. [PDF]
Zhang Y, Wang K, Yang Y, Geng N.
europepmc +1 more source
Biomechanics is the study of how the physical laws of mechanics apply to human movement.
Trikojus, Tom +1 more
core
SFK: Shape‐ and Function‐Grounded Keypoint Representation for Sequential Manipulation
ABSTRACT Sequential manipulation is the process by which robots perform multiple interdependent steps to accomplish composite tasks, demanding tight integration of perception, planning and execution. Existing methods incorporate explicit features such as category, semantics, 6D pose or affordance to enhance consistency, yet single‐feature ...
Yaxin Liu +7 more
wiley +1 more source
Multimodal Benchmark for Safety Assessment in Industrial Inspection Scenarios. [PDF]
Liu Z +9 more
europepmc +1 more source
MRPose: Multi‐Robot Relative 6D Pose Estimation for Unseen Objects From RGB Images
ABSTRACT Relative pose estimation under the query–reference paradigm has emerged as a practical alternative for estimating the 6D pose of unseen objects without relying on CAD models or extensive annotations. However, many existing approaches remain difficult to deploy in practice, as their reliance on geometric matching makes robustness highly ...
Jiale Ren +4 more
wiley +1 more source
Machine Learning as a Tool for the Development of Sign Recognition Systems: A Review. [PDF]
Mora-Zarate JE, Garzón-Castro CL.
europepmc +1 more source
Robotic Hand‐Arm Coordinated Skill Learning for Tool Manipulation Tasks
ABSTRACT This paper focuses on the specific scenario of tool manipulation and presents a novel framework enabling robots to acquire tool manipulation skills through learning from human demonstrations. While there have been numerous studies on robotic manipulation skill learning, most of them fail to fully leverage the combined advantages of coordinated
Jingxiang Chen +9 more
wiley +1 more source
Hybrid Event-Frame Sensing for Human-Perceptual Imaging and Machine Vision. [PDF]
Park PKJ, Kim J, Ko J.
europepmc +1 more source
ABSTRACT With the development of electric power artificial intelligence (AI) technology, many complicated challenges emerged during application. Traditional AI algorithms work well in specialised tasks such as detection and classification. However, they are unlikely to solve general problems.
Yuanpeng Tan +4 more
wiley +1 more source

