Results 71 to 80 of about 377,649 (289)

3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

Advanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu, Bin Cui, Xumin Huang, Xiaoyu (Rayne) Zheng, T. Thang Vo‐Doan, Ruirui Qiao   +5 more
wiley   +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

Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients

Advanced Robotics Research, EarlyView.
In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni, Chapa Sirithunge, Yue Xie, Fumiya Iida, Thilina Dulantha Lalitharatne   +4 more
wiley   +1 more source

Practical Hidden Voice Attacks against Speech and Speaker Recognition Systems

, 2019
Voice Processing Systems (VPSes), now widely deployed, have been made significantly more accurate through the application of recent advances in machine learning.
Abdullah, Hadi, Butler, Kevin R. B., Garcia, Washington, Peeters, Christian, Traynor, Patrick, Wilson, Joseph   +5 more
core   +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

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

Advanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich, Noah S. David, Markus J. Buehler   +2 more
wiley   +1 more source

Software-architectural configuration of the multifunctional audio digital signal processor module for signal mediatesting of audio devices

Российский технологический журнал
Objectives. The aim of this study is to develop and analyze parameters for a multifunctional audio module based on the ADAU1701 audio digital signal processor in the SigmaStudio environment.
A. V. Gevorsky, M. S. Kostin, K. A. Boikov   +2 more
doaj   +1 more source

Kapre: On-GPU Audio Preprocessing Layers for a Quick Implementation of Deep Neural Network Models with Keras [PDF]

, 1947
We introduce Kapre, Keras layers for audio and music signal preprocessing. Music research using deep neural networks requires a heavy and tedious preprocessing stage, for which audio processing parameters are often ignored in parameter optimisation.
Choi, Keunwoo, Joo, Deokjin, Kim, Juho
core   +5 more sources

Deep Multimodal Learning for Audio-Visual Speech Recognition

, 2015
In this paper, we present methods in deep multimodal learning for fusing speech and visual modalities for Audio-Visual Automatic Speech Recognition (AV-ASR). First, we study an approach where uni-modal deep networks are trained separately and their final
Goel, Vaibhava, Marcheret, Etienne, Mroueh, Youssef   +2 more
core   +1 more source

GATA4‐Driven Transcription of HtrA1 Promotes Cellular Senescence in Ménière's Disease and Age‐Related Audio‐Vestibular Dysfunction

Advanced Science, EarlyView.
This study identifies the HDAC6/GATA4/HtrA1 axis as a critical driver of cellular senescence in the inner ear. GATA4 nuclear translocation, facilitated by HDAC6 downregulation, transcriptionally activates HtrA1, promoting hair cell senescence, SASP, and audio‐vestibular dysfunction in models of Ménière's disease and age‐related audio‐vestibular ...
Na Zhang, Na Li, Yan Wang, Jing Zhang, Jiahui Liu, Lei Chen, Yongdong Song, Yurong Mu, Yuechen Han, Yafeng Lyu, Xiaofei Li, Hanyue Wang, Jing Wang, Yao Lu, Zhaomin Fan, Daogong Zhang, Haibo Wang   +16 more
wiley   +1 more source