Results 141 to 150 of about 44,380 (283)

Extreme‐Temperature Resistant, Flexible, and Sensitive Strain Sensor for Aerospace Parachute Deployment

Advanced Materials Technologies, EarlyView.
In this study, we report a resistive‐type strain sensor fabricated using single‐walled CNTs, are used layer using the pray technique to deposit as conductive, and UV‐resin was spin‐coated as a protection layer. The sensor functioned in harsh temperature variation conditions from −50°C to 125°C without deterioration.
Jagan Singh Meena, Lucas Lum Yu Xiang, Dhivya Dharshini Kannan, Chun Fei Siah, Yeow Kheng Lim   +4 more
wiley   +1 more source

Vision‐Augmented Wearable Interfaces: Bioinspired Approaches for Realistic AI‐Human‐Machine Interaction

Advanced Materials Technologies, EarlyView.
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee, Gwuidong Ryu, Kisoo Kim, Feng Xu, Won Gu Lee   +4 more
wiley   +1 more source

Multi‐Mode Deep Strong Coupling in a Multi Quantum Well Fabry–Perot Cavity

Advanced Optical Materials, EarlyView.
Multi‐mode deep‐strong coupling is demonstrated in a 166‐well heterostructure that acts as a Fabry–Perot cavity. Even cavity modes couple strongly to the cyclotron resonance, producing large vacuum Rabi splittings and a rich polaritonic spectrum captured by a full Hopfield model.
Lucy Hale, Johan Andberger, Ethan Koskas, Frieder Lindel, Mattias Beck, Giacomo Scalari, Jérôme Faist   +6 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

Tracking gaze position from EEG: Exploring the possibility of an EEG-based virtual eye-tracker. [PDF]

Brain Behav, 2023
Sun R, Cheng ASK, Chan C, Hsiao J, Privitera AJ, Gao J, Fong CH, Ding R, Tang AC.   +8 more
europepmc   +1 more source

A Proof‐of‐Concept Assessment of a Novel Wearable Eyelid Muscle Device: A Pre‐Clinical Animal Cadaver Study for Eyelid Closure Restoration

Advanced Robotics Research, EarlyView.
This article introduces a soft wearable eyelid sling device incorporating a hydraulic soft artificial muscle (SAM) for achieving complete closure of an eyelid. The SAM is driven by a cam mechanism that provides a displacement profile closely matched with those of a healthy eyelid.
Patrick Pruscino, Phuoc Thien Phan, James Davies, Bibhu Sharma, Tianruo Guo, Chi Cong Nguyen, Nigel H. Lovell, Thanh Nho Do   +7 more
wiley   +1 more source

Hard‐Magnetic Soft Millirobots in Underactuated Systems

Advanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang, Zixuan Zhang, Bingyan Li, Junkai Wang, Hongcheng Gu   +4 more
wiley   +1 more source

Toward Wireless Implantable Robotic Systems Driven by Magnetic Field for Personalized Therapy

Advanced Robotics Research, EarlyView.
Robotic materials are playing an increasingly vital role in enabling sensing and actuation at small scales. This perspective highlights recent advances in magnetic materials and magnetically actuated devices for wireless sensing, actuation, and energy harvesting toward implantable robotic systems for closed‐loop therapy.
Yusheng Wang, Ruijian Ge, Xiaoguang Dong
wiley   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Development of an Eye-Tracker for a HMD

, 2017
Capacetes de realidade virtual, dada a sua recente disponibilidade a preços reduzidos, estão a atrair a atenção de investigadores pela possibilidade da sua utilização para além do uso tradicional nos videojogos, nomeadamente no desenvolvimento de sistemas capazes de ajudar o terapeuta em procedimentos médicos.
openaire   +1 more source