Results 161 to 170 of about 2,147,623 (333)

Adaptable and Collaborative Virtual Learning Environments Supporting Soft Skills [PDF]

The adaptation of virtual learning environments (VLEs) into academic and business cultures has increasingly become a dominant factor in their operation.
Grout, Vic, Roberts, Nathan J, Worden, John   +2 more
core  

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

Advanced 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, Hiroshi Kaminaga, Philippe Fraisse, Gentiane Venture   +3 more
wiley   +1 more source

The Design, Implementation and Evaluation of a Desktop Virtual Reality for Teaching Numeracy Concepts via Virtual Manipulatives

Virtual reality offers new possibilities and new challenges for teaching and learning. For students in elementary mathematics, it has been suggested that virtual reality offers new ways of representing numeracy concepts in the form of virtual reality ...
Daghestani, L.
core  

Surveying The Virtual World. A Large Scale Survey in Second Life Using the Virtual Data Collection Interface (VDCI) [PDF]

Technology has always introduced changes in the way researchers administer surveys. A new technology known as virtual worlds has now emerged that promises to change data collection once again.
Mark W. Bell, Gert G. Wagner, Edward Castronova   +2 more
core  

Universal Gripper for Industrial Manipulation With Enhanced Rigid Mechanics and Self‐Adaptable Fingers

Advanced Robotics Research, EarlyView.
An enhanced universal gripper combining rigid mechanics with self‐adaptable fingers is presented for industrial automation. The novel six‐bar linkage with integrated compliant pad eliminates mechanical interference while enabling passive shape adaptation.
Muhammad Usman Khalid, Nirmal Kumar Ravikumar, Mattia Frascio, Sumanth Nagalakunta, Alessandro Seitone, Benoît Lévesque, Alessandro Zanella, Matteo Zoppi   +7 more
wiley   +1 more source

Recruitment and Data Collection in the 21st Century

Grounded Theory Review: An International Journal
For many people, many aspects of daily life now occur online. Most individuals are well-versed in communication via email and social media, and many are experienced with audio and video conferencing software as a means to hold business meetings and to ...
Emily J. Cashwell
doaj  

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, Lucy Dowdall, Francesco Cenciarelli, Kitty Goodridge, Mabel Ziman, Hristo Dimitrov, Danielle Clode, Tamar R. Makin   +7 more
wiley   +1 more source

OpenPING: A Reflective Middleware Platform for Construction of Adaptive Virtual Reality Applications [PDF]

, 2003
The emergence of collaborative virtual world applications that run over the Internet has presented Virtual Reality (VR) application designers with new challenges.
Parlavantzas, N., Paul, Okanda, Gordon, Blair, Okanda, P., Blair, Gordon S.   +4 more
core  

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

Advanced 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, Hongzhou Ai, Wenjun Xu, Zude Zhou, Lihui Wang   +4 more
wiley   +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