Results 101 to 110 of about 68,922 (259)

A Dual‐Bioresponsive and Programmable Microneedle Matrix as a Bioinspired Coupler for Orchestrating Diabetic Bone Regeneration

Advanced Materials, EarlyView.
This project developed a smart bandage‐like patch (a microneedle array) for repairing diabetic bone damage. It intelligently senses signals from infection and inflammation, then releases its medicines in a specific, timed sequence: first an antibacterial agent, then an anti‐inflammatory agent, and finally growth factors.
Yu Wang, Rui Chen, Yu Chen, Haowen Lu, Yuchen Qian, Zhiheng Gao, Zheming Shen, Xiaofei Zheng, Huilin Yang, Jun Zou, Yusen Qiao   +10 more
wiley   +1 more source

Continual Learning for Human-Machine Collaboration in VUCA Environments

Part 2: Human-Machine CollaborationInternational audienceThis study presents a novel approach to enhancing human-machine collaboration (HMC) in volatile, uncertain, complex, and ambiguous (VUCA) environments by emphasizing the importance of continual ...
Antonelli, Dario, Simeone, Alessandro, Fan, Yuchen   +2 more
core   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Game-Based Design of a Human-Machine Collaboration Monitoring System

In a human-machine collaboration scenario, identifying a specific use case can be challenging due to the wide range of potential applications and interactions.
Gugolya, Mónika, Ruppert, Tamás, Medvegy, Tibor, Abonyi, János   +3 more
core   +1 more source

Human-Machine Collaboration for Accelerated Discovery of Promising Oxygen Evolution Electrocatalysts with On-Demand Elements. [PDF]

ACS Cent Sci, 2023
Sakaushi K, Hoisang W, Tamura R.
europepmc   +1 more source

Additive‐Manufactured, Multifunctional Bioreactor Technology for Dynamic Culture of 3D Bioprinted Tissue Models

Advanced Materials Technologies, EarlyView.
We introduce an additively manufactured bioreactor with a perfusion flow system and integrated temperature and pH sensors for skeletal muscle tissue biofabrication. The bioreactor's performance was evaluated by assessing the viability, spreading of the myoblast cells in a printed scaffold, and contraction of the isolated murine musculi interossei ...
Lys Sprenger, Johann Schorzmann, Hsuan‐Heng Lu, Muhammad Osama, Julian Bauer, Michael Haug, Oliver Friedrich, Aldo R. Boccaccini, Frank Döpper, Sahar Salehi   +9 more
wiley   +1 more source

Designing for Human-Machine Collaboration: Smart Hearing Aids as Wearable Technologies

, 2017
This study examines design aspects that shape human/machine collaboration between wearers of smart hearing aids and their networked aids. The Starkey Halo hearing aid and the TruLink iPhone app that facilitates real-time adjustments by the wearer offer a
Krista Kennedy, Kennedy, Krista
core   +2 more sources

Human-machine collaboration for improving semiconductor process development. [PDF]

Nature, 2023
Kanarik KJ, Osowiecki WT, Lu YJ, Talukder D, Roschewsky N, Park SN, Kamon M, Fried DM, Gottscho RA.   +8 more
europepmc   +1 more source

Skin‐Like Tri‐Modal Sensors Based on Soft Piezoelectric and Ionic Composites

Advanced Materials Technologies, EarlyView.
Inspired by the multimodal perception of human skin, a soft, skin‐like tri‐modal sensor is presented. The device incorporates an ionically conductive, piezoelectric, elastic composite as its active layer, enabling independent detection of temperature, static strain, and dynamic strain within a single two‐terminal architecture.
Liren Wang, Peter Zalar, Vishva Bhate, Takeo Furukawa, Hidekazu Kodama, Yijun Liu, Yuanyuan Zhou, Chuang Hou, Siyuan Liu, Naoji Matsuhisa   +9 more
wiley   +1 more source

CO-Mode with AV-CRM: A novel paradigm towards human–machine collaboration in intelligent vehicle safety

With the continuous advancement in vehicle intelligence, enhancing safety has emerged as a key priority in intelligent vehicle research and development. Intelligent vehicles are currently limited in supporting autonomous or human-driven modes.
Jiayi Lu, Shichun Yang, Bin Sun, Boao Zhang, Yaoguang Cao, Zhaowen Pang, Zhaoxia Peng   +6 more
core   +1 more source