Results 221 to 230 of about 17,026 (306)

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

Analysis of the effects of time delays on the teleoperation of a mobile robot in various modes of operation [PDF]

, 2009
Sanders, David
core   +1 more source

Inspection robots in railways.

Journal of the Robotics Society of Japan, 1986
SHIOYA, Akio, SASAMA, Hiroshi
openaire   +2 more sources

Decoding the Mechanism of Action of a Parasite TGFβ Antagonist Inspires the Creation of Cell‐Type‐Specific TGFβ Modulators

Advanced Science, EarlyView.
The mammalian TGFβ interacts with ubiquitously expressed TGFBR1 and TGFBR2, and current TGFβ‐targeting agents are non‐cell‐selective. The cooperative interaction of the modular parasite TGFβ antagonist with multiple host (co‐)receptors empowers the design of TGM chimeras and bispecific antibodies that activate or inhibit TGFβ signaling in a cell ...
Maarten van Dinther, Tristin Schwartze, Jiying Zhang, Kun Fan, Gerard van der Zon, Luke Power, Cynthia S. Hinck, Claire Ciancia, Ananya Mukundan, Roman Gonzalez‐Prieto, Peter van Veelen, Rick M. Maizels, Andrew P. Hinck, Peter ten Dijke   +13 more
wiley   +1 more source

Robot inspects blades

Reinforced Plastics, 2009
openaire   +1 more source

CMOS‐Integrated Synaptic Photoreceptor Chip Inspired by Insect Visual Processing

Advanced Science, EarlyView.
CMOS‐integrated Si QDs/ReS2 synaptic photoreceptor array mimics the parallel processing and wavelength‐selective strategy of insect vision. By combining intrinsic ultraviolet‐violet sensitivity with synaptic plasticity, the chip enables frontend sensory redundancy reduction without external filters, offering a scalable pathway toward lowpower ...
Jian Chai, Xinyi Xu, Yue Wang, Xiaochen Wang, Hailiang Wang, Yunfei Xie, Xinwei Zhang, Haoyu Wang, Hao Ning, Jiangming Lin, Yongliang Xie, Qihai Jiang, Baoshi Qiao, Xiaolei Ding, Luyao Ma, Shukai Duan, Zhenyi Ni, Huan Hu, Xin He, Fei Xue, Feichi Zhou, Lingfei Li, Srikrishna Chanakya Bodepudi, Rui Yuan, Bin Yu, Yang Xu   +25 more
wiley   +1 more source

Intelligent legged climbing service robot for remote inspection and maintenance in hazardous environments

, 2001
Hewer, N.D., Luk, B.L., Cooke, D.S., Collie, A.A., Chen, S.   +4 more
core  

Wireless, Adaptable and Fully Implantable Battery‐powered Devices for Optical Stimulation of the Spinal Cord in Small Rodents

Advanced Science, EarlyView.
Current technologies for spinal cord optogenetic stimulation rely on external power sources and face reliability constraints in freely behaving animals. Here, a fully implantable, battery‐powered optoelectronic device is introduced, enabling operation in any selected environment with wireless recharging for months‐long stimulation.
Shahriar Shalileh, Adan Moallemi, Elham Mohseni Vadeghani, Samuel Tretjakov, Brianna Tsuyuki, Alexander Golab, Benjamin Rever, Wolfram Tetzlaff, Dena Shahriari   +8 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source