Prediction of Deformations on Elastic Objects Using an LSTM Model DOI

Lisandro Vazquez-Aguilar,

Verónica E. Arriola-Ríos

Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 59 - 72

Опубликована: Янв. 1, 2024

Язык: Английский

Bioelectronics with Topological Crosslinked Networks for Tactile Perception DOI Creative Commons

Mingqi Ding,

Pengshan Xie, Johnny C. Ho

и другие.

Advanced Physics Research, Год журнала: 2025, Номер unknown

Опубликована: Фев. 4, 2025

Abstract Bioelectronics, which integrate biological systems with electronic components, have attracted significant attention in developing biomimetic materials and advanced hardware architectures to enable novel information‐processing systems, sensors, actuators. However, the rigidity of conjugated molecular lack reconfigurability static crosslinked structures pose challenges for flexible sensing applications. Topological networks (TCNs) featuring dynamic interactions offer enhanced flexibility environmentally induced reconfigurability, decoupling competition between performances. Here, recent advances are summarized assembly methods bioelectronics different TCNs elaborate ion/electron‐transport mechanisms from perspective interactions. Decoupling effects can be achieved by comparing distinct their respective properties, an outlook is provided on a new range neuromorphic biocompatibility, self‐healing, self‐powered, multimodal‐sensing capabilities. The development TCN‐based significantly impact fields artificial perception devices, networks, systems.

Язык: Английский

Процитировано

0

Adaptive process parameters decision-making in robotic grinding based on meta-reinforcement learning DOI
Jie Pan, Fan Chen, Dan Han

и другие.

Journal of Manufacturing Processes, Год журнала: 2025, Номер 137, С. 376 - 396

Опубликована: Фев. 8, 2025

Язык: Английский

Процитировано

0

Hydraulically Amplified Rigidity-Adaptive Electrostatic Actuators with High Performance and Smooth Motion Control DOI

Hu Qilin,

Li Yang, Deqing Mei

и другие.

Soft Robotics, Год журнала: 2025, Номер unknown

Опубликована: Фев. 10, 2025

Hydraulically amplified self-healing electrostatic (HASEL) actuators are known for their muscle-like activation, rapid operation, and direct electrical control, making them highly versatile use in soft robotics. While current methods enhancing HASEL actuator performance largely emphasize material innovation, our approach offers an additional architectural strategy. In this study, we introduce a novel hydraulically rigidity-adaptive (HARIE) designed to significantly enhance while maintaining controllability by elucidating the underlying issues of pull-in instability. Our experimental results indicate that HARIE achieves significant improvement, with over 200% increase angular output consistently strong torque compared flexible electrodes. Notably, maximum step is 21.8°/kV, approximately one third rigid electrodes (62.3°/kV), suggesting smoother motion control. The actuator's effectiveness further demonstrated practical applications; it successfully grasps orange weighing 15.2 g delicate dandelion. Additionally, precise targeting capability evidenced its ability manipulate laser induce heat accumulation, leading balloon's breakdown, thereby showcasing high level controllability. method mitigates negative impacts suboptimal materials demonstrates potential enhancement when combined superior materials.

Язык: Английский

Процитировано

0

A Novel Vision-Based Neuromorphic Tactile Sensor Development, Dynamical Modeling, and Object Slip Estimation DOI
Mahmoud A. Abdalla

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Dexterous hand towards intelligent manufacturing: A review of technologies, trends, and potential applications DOI
Jiexin Zhang, Huan Zhao,

Kuangda Chen

и другие.

Robotics and Computer-Integrated Manufacturing, Год журнала: 2025, Номер 95, С. 103021 - 103021

Опубликована: Апрель 4, 2025

Язык: Английский

Процитировано

0

Empower dexterous robotic hand for human-centric smart manufacturing: A perception and skill learning perspective DOI
Bin Gao, Junming Fan, Pai Zheng

и другие.

Robotics and Computer-Integrated Manufacturing, Год журнала: 2024, Номер 93, С. 102909 - 102909

Опубликована: Дек. 6, 2024

Язык: Английский

Процитировано

2

Enhancing compliant gripper performance: Exploiting electro-adhesion to increase lifting force over grasping force DOI Creative Commons
Amedeo Carloni, Marcello Valori,

F. Bertolucci

и другие.

Robotics and Computer-Integrated Manufacturing, Год журнала: 2024, Номер 91, С. 102843 - 102843

Опубликована: Авг. 10, 2024

On the landscape of solutions to deal with delicate objects, development and use soft grippers is a topic increasing interest, large number prototypes proposed by research community employing non-linear materials based on diverse actuation means. However, compliance usually leads reduction lifting capacity. As recent promising approach, shear forces exerted gripper can be enhanced exploiting electro-adhesion (EA) effect. Following this trend, paper proposes new that combines compliant finger structure, geometry taken from FESTO FinRay but made softer material (a urethane rubber), custom EA pads are placed fingers at interface grasped object. hyper-elastic model identification considered preliminary functional verification design via finite element simulations, then manufactured tested means specific setup, replicating grasping cylindrical objects different diameters. The results clearly show makes it possible generate holding similar those FinRay, significantly lower pressures object (77 % less). Besides enabling handling more fragile items, drastic increase in also mechanical force (namely, 71 less gripping energy) required same force, consequent operation costs sustainability its application.

Язык: Английский

Процитировано

1

Prediction of Deformations on Elastic Objects Using an LSTM Model DOI

Lisandro Vazquez-Aguilar,

Verónica E. Arriola-Ríos

Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 59 - 72

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0