Results 41 to 50 of about 853,051 (231)
Continual Learning for Multimodal Data Fusion of a Soft Gripper
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
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
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 +2 more
wiley +1 more source
The study focuses on the semantic characteristics of caricatures. The analysis of an international corpus, including works by six caricaturists, shows that these authors use different language processes (verbal and iconic).
Youcef Lakab, M’hand Ammouden
doaj +1 more source
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source
An Effective Multi-Layer Attention Network for SAR Ship Detection
The use of deep learning-based techniques has improved the performance of synthetic aperture radar (SAR) image-based applications, such as ship detection.
Zhiling Suo, Yongbo Zhao, Yili Hu
doaj +1 more source
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
A framework of variable-length sequence data preprocessing based on semantic perception
Deep learning frameworks generally adopt padding or truncation operations toward variable-length sequences in order to use efficient yet intensive batch training. However, padding leads to intensive memory consumption, and truncation inevitably loses the
WANG Xiaodong +5 more
doaj +1 more source
Flexible Sensors for Robotics Tactile Perception: A Review
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley +1 more source
Los nombres de la hiel y bilis en castellano en la perspectiva diacrónica
The aim of the research presented in the article is to determinate the cause of the coexistence of the three names of the bile / gall in Spanish and their semantic evolution through the centuries.
Katarzyna Tilgner
doaj +1 more source
Common Words between the Holy Qur’an and Pre-Islamic Arab Poetry [PDF]
The Holy Qur’an was revealed in a society whose language was greatly eloquent; thus, it naturally used familiar words and expressions to communicate with them. Moreover, pre-Islamic Arab poems – the treasure trove of Arab poetry, literature, and culture –
hasan dadkhah
doaj +1 more source

