Results 111 to 120 of about 8,144,777 (299)

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

open access: yesAdvanced 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

Assisting ICU training management with virtual worlds [PDF]

open access: yes, 2012
Conventional training methods for nurses involve many physical factors that place limits on potential class sizes. Alternate training methods with lower physical requirements may support larger class sizes, but given the tactile quality of nurse training,
Brown, Ross A.   +2 more
core  

Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot

open access: yesAdvanced Robotics Research, EarlyView.
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini   +7 more
wiley   +1 more source

Compliant Pneumatic Feet with Real‐Time Stiffness Adaptation for Humanoid Locomotion

open access: yesAdvanced Robotics Research, EarlyView.
A compliant pneumatic foot with real‐time variable stiffness enables humanoid robots to adapt to changing terrains. Using onboard vision and pressure control, the foot modulates stiffness within each gait cycle, reducing impact forces and improving balance. The design, cast in soft silicone with embedded air chambers and Kevlar wrapping, offers durable,
Irene Frizza   +3 more
wiley   +1 more source

Muscle Control of an Extra Robotic Digit

open access: yesAdvanced 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

Virtual machine tool - A case study on virtual operator training

open access: yes, 2022
S.135-140In operator training for machine operations, the application of virtual supported training courses promises great benefits for industrial usage.
Henning, H.   +4 more
core  

Training Interpreters Using Virtual Worlds

open access: yes, 2013
With the rise in population migration there has been an increased need for professional interpreters who can bridge language barriers and operate in a variety of fields such as business, legal, social and medical. Interpreters require specialized training to cope with the idiosyncrasies of each field and their potential clients need to be aware of ...
Panagiotis D. Ritsos   +4 more
openaire   +6 more sources

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

open access: yesAdvanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao   +4 more
wiley   +1 more source

Virtual Environment for Effective Training.

open access: yesRev. Colomb. de Computación, 2012
Los entornos virtuales (VEs) ofrecen diversas ventajas para el entrenamiento. Por ejemplo, en relación a costos un VE es reutilizable a un relativo bajo costo, además aquí los materiales no se gastan o rompen; en algunos casos los VEs evitan la necesidad de instructores o hacen su participación menos indispensable, de tal forma que los instructores ...
Adriana Peña Pérez, Erik Jiménez
openaire   +2 more sources

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

open access: yesAdvanced 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

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