Results 61 to 70 of about 1,541,419 (288)

An All‐Fabric Wearable System for Human‐Machine Interaction

Advanced Materials Technologies, EarlyView.
An all‐fabric sensing system enables wearable human–machine interaction through a breathable, stretchable, and scalable design. The all‐fabric capacitive sensor achieves a gauge factor of 2.03 over 72% strain and supports body‐motion tracking, 90.5% hand gesture recognition, and real‐time prosthetic hand control, demonstrating a promising pathway ...
Rayane Tchantchane, Hao Zhou, Shen Zhang, Gursel Alici   +3 more
wiley   +1 more source

Towards expansive apprenticeships: a commentary by the Teaching and Learning Research Programme

, 2008
The Teaching and Learning Research Programme (TLRP), managed by the Economic and Social Research Council (ESRC) in the UK, aims to shed light on learning and teaching throughout life, and to produce findings which will help improve educational outcomes ...
Fuller, Alison, Teaching and Learning Research Programme, Unwin, Lorna   +2 more
core   +1 more source

Connections: A Teaching & Learning Newsletter Vol. 2, Issue 2

, 2011
Biannual newsletter of the Centre for Leadership in Learning, including: Director's Welcome; Teaching and Learning News; Partnerships; Learning Spaces; Interdisciplinary Encounters; Signature Pedagogies; TA News; Field Notes; Award-Winning ...
Neville, Alan, Nik, Provatas, Preston, Sandy, Marquis, Beth, Aspenlieder, Erin, Koziol, Mary, Kuhn, Adam, Randall, Glen, Goff, Lori, Vajoczki, Sue, Symons, Sarah   +10 more
core   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

Advanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa, Sota Suzuki, Shizuka Watanabe, Zebing Mao, Young Ah Seong, Toshinori Fujie, Tatsuhiro Horii, Kenjiro Tadakuma, Koichi Suzumori, Hiroyuki Nabae, Shingo Maeda   +10 more
wiley   +1 more source

Transformative Learning & Teaching Delivery Through Flipped Learning [PDF]

, 2020
Higher education has come to shift towards more flexible, effective, active and student-centered teaching strategies that soften the limitation of conventional teaching delivery.
Mohd Ridhuan, Mohd Sharip, Dyg Norkhairunnisa, Abang Zaidel, Siti Kudnie, Sahari, Kho, Lee Chin, Shafrida, Sahrani   +4 more
core  

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

From Rigid to Soft Robotic Approaches for Neuroendoscopy

Advanced Robotics Research, EarlyView.
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday, Irena Zubak, Andreas Raabe, Josie Hughes   +3 more
wiley   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Nonlocomotory Robotic Strategies for Dynamic Rotation Control in Terrestrial Robots: A Review

Advanced Robotics Research, EarlyView.
Terrestrial robots increasingly require rapid body rotation to maintain stability and agility in complex environments. This review shows nonlocomotory rotational control strategies that operate without ground contact, including reaction wheels, tails, bars, limbs, and thrusters.
Y. Liang, J. An, X. Zheng, D. Wang, S. Wang, X. Wang, P. Zhu, J. Pei, S. Li, J. Paripurana, Y. Han, Z. Tang, X. Gan, Q. He, X. Ma   +14 more
wiley   +1 more source