Results 111 to 120 of about 5,548,528 (274)

FuNet: Multi-Feature Fusion for Point Cloud Completion Network

The densification of a point cloud is a crucial challenge in visual applications, particularly when estimating a complete and dense point cloud from a local and incomplete one. This paper introduces a point cloud completion network named FuNet to address
Junjie Liu, Huan Jiang, Keming Li, Jiahui Wang, Weiren Zhao, Hui Zhang   +5 more
core   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Ranking Instability Under Corruption in Point Cloud Completion: A Matched-Control Audit on the Point Completion Network Benchmark

IEEE Access
Point cloud completion (PCC) leaderboards routinely rank models by a single aggregate metric (typically chamfer distance, CD-L1) on a clean test split, implicitly assuming this rank holds under realistic sensor corruption.
Wenbo Gong
doaj   +1 more source

Ganet: graph attention based Terracotta Warriors point cloud completion network

Point cloud completion technology is used to address incomplete three-dimensional point cloud data, predicting and reconstructing the original shape and details to achieve virtual restoration.
Gaoxue Shiqin, Pengbo Zhou, Jian Gao, Yue Wen, Yuhe Zhang, Guohua Geng   +5 more
core   +1 more source

Technical Feasibility Study of Autonomous Field Robot‐Based on‐the‐go Assessment of Soil Nutrients Using Ion‐Sensitive Field‐Effect Transistors

Advanced Robotics Research, EarlyView.
Autonomous field robots equipped with ISFET‐based sensors enable rapid, spatially resolved soil nutrient analysis directly in the field. An automated system based on the BoniRob platform is presented for standardized on‐site extraction and measurement of key macronutrients and soil pH.
Vadim Riedel, Stefan Hinck, Edgar Peiter, Arno Ruckelshausen   +3 more
wiley   +1 more source

Push the Limits: Human‐Like Multimodal Extreme Embodied Intelligence for Autonomous Racing

Advanced Robotics Research, EarlyView.
Autonomous racing tests embodied intelligence under extreme control limits of speed, actuation, and decision‐making. Inspired by human multimodality, we present Apex, an embodied agent deployed on a super‐formula racing car at Yas Marina. Integrating physics‐informed perception, multimodal learning, and tasking, Apex cuts lap times by 15% and achieves ...
Yanxin Zhou, Baichuan Lou, Wenhui Huang, Binbin Hu, Haohan Yang, Haochen Liu, Xiangkun He, Chee Kiong Ong, Yiran Zhang, Tianchu Su, Bolin Zhao, Xiaoyu Mo, Holden King Ho Li, Chen Lv   +13 more
wiley   +1 more source

Point Cloud Completion of Plant Leaves under Occlusion Conditions Based on Deep Learning. [PDF]

Plant Phenomics, 2023
Chen H, Liu S, Wang C, Wang C, Gong K, Li Y, Lan Y.   +6 more
europepmc   +1 more source

Robotic Assistants in the Operating Room: A Systematic Review of Vision‐Based Systems for Nonoperative Tasks

Advanced Robotics Research, EarlyView.
This review brings together 20 publications describing 11 robotic system families developed for instrument handling, sterile‐package opening, supply delivery, and operating room logistics. Perception is becoming more capable through deep learning and language‐guided control, but autonomy remains limited, evidence is largely laboratory‐based, and no ...
Eugenia Mawuenya Akpo, Pietro Falco, Nicholas Raison, Christos Bergeles, Letizia Gionfrida   +4 more
wiley   +1 more source

Point cloud completion in challenging indoor scenarios with human motion. [PDF]

Front Robot AI, 2023
Zhang C, Czarnuch S.
europepmc   +1 more source

DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion

Proceedings of the AAAI Conference on Artificial Intelligence
Point Transformers (PoinTr) have shown great potential in point cloud completion recently. Nevertheless, effective domain adaptation that improves transferability toward target domains remains unexplored. In this paper, we delve into this topic and empirically discover that direct feature alignment on point Transformer’s CNN backbone only brings ...
Yinghui Li, Qianyu Zhou 0001, Jingyu Gong, Ye Zhu 0002, Richard Dazeley, Xinkui Zhao, Xuequan Lu   +6 more
openaire   +4 more sources