Results 141 to 150 of about 40,470,474 (303)

Text Encoding Initiative (TEI) Primer

open access: yes, 2023
This primer focuses on textual resources or their facsimiles that have been annotated according to Text Encoding Initiative (TEI) conventions. Because TEI is expressed in the Extensible Markup Language (XML), many of the considerations in this primer may
Swanz, Sarah   +3 more
core  

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

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

open access: yesAdvanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar   +8 more
wiley   +1 more source

A Multidirectional Textile Interface for Remote Control Using Dynamic Area‐Based Capacitance Modulation

open access: yesAdvanced Robotics Research, EarlyView.
Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus   +8 more
wiley   +1 more source

Incorporating Text Encoding Initiative Projects in Technical Services

open access: yes, 2011
Presentation on workflows and best practices in performing text encoding work in an academic library technical services ...
Wisneski, Richard
core  

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

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

Editorial Introduction to Issue 10 of the Journal of the Text Encoding Initiative

open access: yesJournal of the Text Encoding Initiative, 2019
Marjorie Burghart, Emmanuelle Morlock
doaj   +1 more source

Letters and Musical Sketches. Toward a Proper Integration of Bellini’s Writings.

open access: yes
This article examines the use of XML-based technologies to encode verbal and musical texts in two publishing products featuring autograph material by Vincenzo Bellini (1801–1835), held at the Museo civico Belliniano in Catania, Italy.
Pietro Sichera   +7 more
core   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

open access: yesAdvanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

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