Results 131 to 140 of about 56,254 (265)

Functional Fibers in Soft Robotics: Advances in Material, Structural, and Systemic Tactics

Advanced Robotics Research, EarlyView.
Fiber‐form robotic systems offer a scalable pathway toward embodied intelligence in soft robotics. This review surveys functional fibers as material, structural, and systemic elements, highlighting advances in responsive materials, architectural programing, and fabrication strategies.
Joonhee Won, Jaehyun Jang, Hyeonseo Kim, Inyoung Choi, Steve Park, Seongjun Park   +5 more
wiley   +1 more source

Surface Topography-Based Classification of Coefficient of Friction in Strip-Drawing Test Using Kohonen Self-Organising Maps. [PDF]

Materials (Basel)
Szwajka K, Trzepieciński T, Szewczyk M, Zielińska-Szwajka J, Slota J.   +4 more
europepmc   +1 more source

Advances in Electroactive Liquid Crystal Elastomers for Intelligent Robotics and Electronics

Advanced Robotics Research, EarlyView.
Electroactive liquid crystal elastomers (eLCEs) integrate molecular anisotropy with electrical functionality to enable programmable actuation and reconfigurable electronics. This review classifies eLCEs into robotic actuators and adaptive electronics, summarizes key actuation mechanisms, and highlights fabrication strategies that bridge materials to ...
Kavita Ramesh Rathod, Sena Chon, Jae Hyuk Hwang, Sung Hyuk Park, Woohwa Lee, Joonmyung Choi, Shi Hyeong Kim, Seung Hwan Ko, Changsoon Choi, Seon Jeong Kim, Dong‐Gyun Kim, Habeom Lee, Kyung Gook Cho, Woon‐Hong Yeo, Hyun Kim   +14 more
wiley   +1 more source

Application of the Gradient-Boosting with Regression Trees to Predict the Coefficient of Friction on Drawbead in Sheet Metal Forming. [PDF]

Materials (Basel)
Najm SM, Trzepieciński T, Laouini SE, Kowalik M, Fejkiel R, Kowalik R.   +5 more
europepmc   +1 more source

Effect of load carrying on required coefficient of friction. [PDF]

Technol Health Care, 2019
Seo JS, Kim S.
europepmc   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Helix Alignment, Chevrons, and Edge Dislocations in Twist‐Bend Ferroelectric Nematics

Advanced Science, EarlyView.
The recently discovered twist‐bend ferroelectric nematic (NTBF) is the new member of the multiferroic family, representing a fluid with an oblique helicoidal (heliconical) periodic structure of spontaneous electric polarization. The work presents a thorough exploration of the material properties of this phase, how the periodic modulation of ...
Bijaya Basnet, Priyanka Kumari, Sathyanarayana Paladugu, Damian Pociecha, Jakub Karcz, Przemysław Kula, Nataša Vaupotič, Ewa Górecka, Oleg D Lavrentovich   +8 more
wiley   +1 more source

Increased stability of short femoral stem through customized distribution of coefficient of friction in porous coating. [PDF]

Sci Rep
Solou K, Solou AV, Tatani I, Lakoumentas J, Tserpes K, Megas P.   +5 more
europepmc   +1 more source

Architected Inverse Nacre Hydrogels With High Strength and Crack‐Insensitive Toughness

Advanced Science, EarlyView.
Hydrogels hold promise for biomedical and engineering applications, yet their practical use is fundamentally limited by the strength‐toughness trade‐off and poor fatigue resistance. In this study, a bioinspired inverse nacre architecture constructed via a scalable thermo‐calendering process is introduced, which overcomes these classic limitations ...
Haidi Wu, Qin Su, Cheng Guan, Biwang Pan, Wenjie Hu, Jun Yan, Yifan Feng, Longcheng Tang, Xuewu Huang, Jiefeng Gao, Wancheng Gu   +10 more
wiley   +1 more source

Method for Determining the Coefficient of Friction Variation Pattern as a Function of Density at Low Temperatures Using the Example of Dry Ice-Steel Contact. [PDF]

Materials (Basel)
Górecki J, Łykowski W, Husar J, Knapčíková L, Berdychowski M.   +4 more
europepmc   +1 more source