Results 261 to 270 of about 9,169,325 (384)

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

Advanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang, Zhipeng Jiang, Sun Hwa Kwon, Matthew Ibrahim, Alexander Dang, Lin Dong   +5 more
wiley   +1 more source

Future Development Strategy of Piezoelectric Devices. [PDF]

Micromachines (Basel)
Uchino K.
europepmc   +1 more source

The Effect Of The Initial Stresses On The Reflection And Transmission Of Plane Quasi-Vertical Transverse Waves In Piezoelectric Materials

, 2009
Abo-el-nour N. Abd-alla, Fatimah A. Al-sheikh   +1 more
openalex   +1 more source

Liquid Metal Sensors for Soft Robots

Advanced Robotics Research, EarlyView.
This review thoroughly reviews liquid metal sensors in soft robots. Their unique material properties like high conductivity and good biocompatibility are analyzed. Working principles are classified, and applications in environmental perception, motion detection, and human—robot interaction are introduced.
Qi Zhang, Nan Li, Yujia Song, Chen Hua, Tangzhen Guan, Yibing Ma, Cai Cheng, Jing Liu   +7 more
wiley   +1 more source

Aging Structure, Mechanical Properties, and ZnO Piezoelectric Coating-Based Ultrasonic Response of 15CrMo Steel. [PDF]

Materials (Basel)
Hu H, Zhang Y, Ma X, Fu Z, Liu J, Zhang J, Yang B.   +6 more
europepmc   +1 more source

Bi-fonctionnal materials for catalytic and piezoelectric based on cerium, lanthanum oxide and Langasite

, 2007
Khalid Ouzaouit, GAVARRI, Jean-Raymond
openalex   +1 more source

Multi‐Material Additive Manufacturing of Soft Robotic Systems: A Comprehensive Review

Advanced Robotics Research, EarlyView.
This review explores the transformative role of multi‐material additive manufacturing (MMAM) in the development of soft robotic systems. It presents current techniques, materials, and design strategies that enable functionally graded and adaptive structures.
Ritik Raj, Quan‐Chen Song, Jia‐Yang Juang   +2 more
wiley   +1 more source

Machine-Learning-Assisted Composition Design of High-Entropy CaBi₄Ti₄O₁₅-Based Piezoceramics with Ultrahigh Piezoelectricity. [PDF]

ACS Appl Mater Interfaces
Zhou Y, Guo C, Zhou Z.
europepmc   +1 more source

A Novel Boundary-Based Machine Learning Approach for 2d Crack Analysis in Elastic and Piezoelectric Materials

Peijun Zhang, Yan Gu, Longtao Xie, Okyay Altay, Chuanzeng Zhang, В. А. Бабешко   +5 more
openalex   +1 more source

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

Advanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett, Maxwell Hammond, Niloufar Seyfi, Amirreza Fahim Golestaneh, Venanzio Cichella, Caterina Lamuta   +5 more
wiley   +1 more source