Results 251 to 260 of about 1,106,922 (310)

Satisfaction and perceptions with clinical practicum course among graduating nursing students: a mixed methods study. [PDF]

BMC Nurs
Wu CJ, Tsai LH, Chen CM, Chiang SF.
europepmc   +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

Beyond Cognitive Load Theory: Why Learning Needs More than Memory Management. [PDF]

Brain Sci
Sortwell A, Gkintoni E, Díaz-García J, Ellerton P, Ferraz R, Hine G.   +5 more
europepmc   +1 more source

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

Advanced 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, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source

The virus lesson: Teaching viral structure and quasi-symmetry in mixed reality. [PDF]

Protein Sci
Gardner A, Cannac F, Tallon Q, Olson A, Autin L.   +4 more
europepmc   +1 more source

Backpropagation Through Soft Body: Investigating Information Processing in Brain–Body Coupling Systems

Advanced Robotics Research, EarlyView.
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka, Katsuma Inoue, Yasuo Kuniyoshi, Kohei Nakajima   +3 more
wiley   +1 more source

Exploring the Swimming and Water Safety Behaviour Among Indian and Vietnamese Adults in Australia. [PDF]

Health Promot J Austr
Low L, Graefe HLM, Willcox-Pidgeon SM, Barnett LM.   +3 more
europepmc   +1 more source

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

MLISB-RTK: Machine Learning Based on Inter-System Biases to Improve the Performance of RTK in Complex Environments. [PDF]

Sensors (Basel)
Zhang R, Zhao W, Shao X, Li M.
europepmc   +1 more source

Report on Work from October 2011 to August 2012 as University Learning Development Associate for Curriculum Development and for Learning Environments [PDF]

, 2012
Dove, A.
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