Results 61 to 70 of about 10,615 (256)

Few-Shot Remote Sensing Scene Classification via Fusion of Zigzag Scanning Feature Sequence and Riemannian Geometric Barycenter Network

Remote Sensing
Few-shot remote sensing scene classification aims to accurately recognize unseen scene categories using only a scarce number of labeled samples, which has emerged as a research hotspot in the field of remote sensing image interpretation.
Xiliang Chen, Longwei Li, Yufeng Chen, Lei Liu, Zhenyu Wang, Mingqing Liu, Xiaojie Liu, Guobin Zhu   +7 more
doaj   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Few-Shot Remote Sensing Image Scene Classification Based on Zigzag Scanning Feature Sequence and Riemannian Kernel Fisher Discriminant Analysis

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Few-shot remote sensing image scene classification aims to use annotated data to achieve efficient classification, which has important applications in environmental monitoring, urban planning, agricultural yield estimation, and other fields. However, due
Xiliang Chen, Longwei Li, Chengzhi Lv, Zhenyu Wang, Mingqing Liu, Guobin Zhu   +5 more
doaj   +1 more source

A Soft Robotic Fish With a Dielectric Elastomer Actuator Body and Negative Stiffness Spine

Advanced Robotics Research, EarlyView.
This work introduces a bio‐mimetic soft robotic fish driven by fiber‐reinforced dielectric elastomer actuators integrated as its body. By prestretching this active skin against a flexible spine, a negative stiffness system is created, enabling large‐amplitude bending.
Markus Koenigsdorff, Simon Holzer, Stefania Konstantinidi, Yoan Civet, Yves Perriard   +4 more
wiley   +1 more source

Trajectory Prediction-Enabled Self-Decision-Making for Autonomous Cleaning Robots in Semi-Structured Dynamic Campus Environments

Sensors
Autonomous cleaning robots operating in semi-structured dynamic environments must execute task-oriented motions while safely interacting with surrounding agents. These agents include pedestrians, vehicles, and other robots.
Jie Peng, Zhengze Zhu, Qingsong Fan, Ranfei Xia, Zheng Yin   +4 more
doaj   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Exploiting Weighted Multidirectional Sparsity for Prior Enhanced Anomaly Detection in Hyperspectral Images

Remote Sensing
Anomaly detection (AD) is an important topic in remote sensing, aiming to identify unusual or abnormal features within the data. However, most existing low-rank representation methods usually use the nuclear norm for background estimation, and do not ...
Jingjing Liu, Jiashun Jin, Xianchao Xiu, Wanquan Liu, Jianhua Zhang   +4 more
doaj   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

Determinants of Users' Attitude and Intention to Intelligent Connected Vehicle Infotainment in the 5G-V2X Mobile Ecosystem. [PDF]

Int J Environ Res Public Health, 2021
Yu Z, Jin D.
europepmc   +1 more source

A Thermal Runaway Protection Strategy for Prismatic Lithium-Ion Battery Modules Based on Phase Change and Thermal Decomposition of Sodium Acetate Trihydrate

Batteries
With the rapid development of battery energy storage technology, the issue of thermal runaway (TR) in lithium-ion batteries has become a key challenge restricting their safe application.
Tianqi Yang, Hanwei Xu, Chengfu Xie, Linzhi Xu, Min Liu, Lingyu Chen, Qianqian Xin, Juan Zeng, Hengyun Zhang, Jinsheng Xiao   +9 more
doaj   +1 more source