Results 141 to 150 of about 134,020 (300)
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 +4 more
wiley +1 more source
Liquid Crystalline Elastomers in Soft Robotics: Assessing Promise and Limitations
Advanced Robotics Research, EarlyView.Liquid crystalline elastomers (LCEs) are programmable soft materials that undergo large, anisotropic deformation in response to external stimuli. Their molecular alignment encodes directional actuation in a monolithic structure, making them long‐standing candidates for soft robotic systems.
Justin M. Speregen, Timothy J. White
wiley +1 more source
Muscle Control of an Extra Robotic Digit
Advanced Robotics Research, EarlyView.This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ +7 more
wiley +1 more source
Durability of Soft Pneumatic Actuators: A Review and Benchmarking Protocol
Advanced Robotics Research, EarlyView.Lack of durability is a key challenge hindering the broad scale adoption of soft pneumatic actuators (SPAs) in automation industries. This review provides a comprehensive overview of existing research on SPA durability, introduces a standardized durability benchmarking protocol to consolidate the testing of SPAs, and outlines promising directions for ...
Dickson Chiu Yu Wong +2 more
wiley +1 more source
Investigation of Artificial Intelligence Techniques for the Management of Cataract Disease: A Systematic Review [PDF]
پیاورد سلامتBackground and Aim: Cataracts are recognized as the cause of 51% of blindness worldwide. Following the promising initial results of artificial intelligence systems in eye diseases, AI algorithms have been applied in the diagnosis of cataracts, grading ...
Zahra Karbasi +2 more
doaj
Research on the Classification Ability of Deep Belief Networks on Small and Medium Datasets
Recent theoretical advances in the learning of deep artificial neural networks have made it possible to overcome a vanishing gradient problem. This limitation has been overcome using a pre-training step, where deep belief networks formed by the stacked ...
Bondarenko, Andrejs
core
Theoretical study of artificial neural networks [PDF]
, 2018 The basic structure and definitions of artificial neural networks are exposed, as an introduction to Machine Learning algorithms. The theoretical description is emphasized and representation power of both shallow and deep networks is studied, proving the
Cano Córdoba, Felipe
core
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 +2 more
wiley +1 more source
Editorial: From Pioneering Artificial Neural Networks to Deep Learning and Beyond
International Journal of Neural Systems, 2021 openaire +4 more sources
Deep neural networks: a theory, application and new trends
, 2016 Over the last decade the deep neural networks are the revolutionary technique in the domain of artificial intelligence and machine learning. In the general case a deep neural network consists of multiple layers of neural units and can accomplish a ...
Golovko, V.
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