Intermediate Encoding Layers for the Generative Design of 2D Soft Robot Actuators: A Comparison of CPPN’s, L-Systems and Random Generation DOI Creative Commons
Martin Philip Venter,

Naudé Thomas Conradie

Mathematical and Computational Applications, Journal Year: 2023, Volume and Issue: 28(3), P. 68 - 68

Published: May 15, 2023

This paper introduced a comparison method for three explicitly defined intermediate encoding methods in generative design two-dimensional soft robotic units. study evaluates conventional genetic algorithm with full access to removing elements from the domain using an implicit random layer, Lindenmayer system mimicking biological growth patterns and compositional pattern producing network 2D generation. The objective of optimisation problem is match deformation single actuator unit desired target shape, specifically uni-axial elongation, under internal pressure. results suggest that generates candidate units fewer function evaluations than traditional implicitly encoded algorithm. However, distribution constraint energy similar encoding, produces less diverse population In contrast, despite requiring more System Compositional Pattern Producing Network diversity Overall, proportionally higher number high-performing or making it viable alternative monolithic approach. may be promising approach designing actuators desirable performance characteristics.

Language: Английский

Ultrarobust self-healing elastomers with hydrogen bonding connected MXene network for actuator applications DOI

Chuansong Yu,

Yuyan Wang, Xiaoyan Qiu

et al.

Chemical Engineering Journal, Journal Year: 2023, Volume and Issue: 475, P. 146079 - 146079

Published: Sept. 22, 2023

Language: Английский

Citations

21

Data-Driven Methods Applied to Soft Robot Modeling and Control: A Review DOI Creative Commons
Zixi Chen, Federico Renda,

Alexia Le Gall

et al.

IEEE Transactions on Automation Science and Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 16

Published: Jan. 1, 2024

Soft robots show compliance and have infinite degrees of freedom. Thanks to these properties, such can be leveraged for surgery, rehabilitation, biomimetics, unstructured environment exploring, industrial grippers. In this case, they attract scholars from a variety areas. However, nonlinearity hysteresis effects also bring burden robot modeling. Moreover, following their flexibility adaptation, soft control is more challenging than rigid control. order model robots, large number data-driven methods are utilized in pairs or separately. This review first briefly introduces two foundations approaches, which physical models the Jacobian matrix, then summarizes three kinds statistical method, neural network, reinforcement learning. compares modeling controller features, e.g., dynamics, data requirement, target task, within among categories. Finally, we summarize features each method. A discussion about advantages limitations existing approaches presented, forecast future robots. website (https://sites.google.com/view/23zcb) built will updated frequently. Note Practitioners —This work motivated by need introducing parallel. Modeling play significant roles research, especially The nonlinear complex deformation necessitates specific approaches. We introduce state-of-the-art survey widely utilized. performance methods, considering some important like amount frequency, task. approach summarized, discuss possible area.

Language: Английский

Citations

6

Hydrophobic and Tribological Properties of Biomimetic Interfaces DOI Open Access
Kang Yang, Jun Tang, Jia Huang

et al.

Coatings, Journal Year: 2024, Volume and Issue: 14(5), P. 529 - 529

Published: April 24, 2024

Bionic interfaces have received much attention owing to their attractive hydrophobic and tribological potential. Although a great deal of research has been carried out on biomimetic nanostructures, the basic theory, experimental application, related techniques hydrophobicity as well relationship between state lubricants friction in tribology not fully explored. In this review, based brief discussion theory hydrophobicity, role two-dimensional bionic structures wet is introduced, wetting mechanism applications are discussed. Then, synergistic effects mechanisms weaving dry/wet investigated. addition, contribution fields further deepens knowledge enriches practical surface weaving.

Language: Английский

Citations

4

Research progress in biomimetic surface processing technology with adaptive control functions DOI

Yingluo Zhou,

Ouchuan Lin,

Xuejing Cui

et al.

The International Journal of Advanced Manufacturing Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 12, 2025

Language: Английский

Citations

0

A soft climbing robot based on smart wood with switchable adhesion DOI
Xiaodong Wang,

Yaodong Li,

Xiaolei Guo

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 2, 2025

Abstract Climbing robots have vital uses in uncharted terrain exploration, military intelligence collecting, and other areas. To address the drawbacks of classic wall-climbing robots, this study introduced a novel soft climbing robot constructed smart wood with switchable adhesion force. The experimental findings indicated that implemented research could effectively perform movements on diverse walls sloping pavements, enabled by temperature control through cold/hot water circulation pneumatic actuation. Further revealed reversible phase transition PNIPAM at different temperatures was main reason for variable force wood. Moreover, model developed work surface mostly composed contact mechanics capillary Finally, will offer insights design advance their potential applications.

Language: Английский

Citations

0

Advances in Research of Wall-climbing Robots: from Biology to Bionics-A Review DOI

Junchao Kong,

Aihong Ji, Qingfei Han

et al.

Journal of Bionic Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 9, 2025

Language: Английский

Citations

0

Spatiotemporally Controlled Soft Robotics with Optically Responsive Liquid Crystal Elastomers DOI Creative Commons
Elizabeth R. Blackert,

Phoebe Scaccia,

Morgan Barnes

et al.

Advanced Intelligent Systems, Journal Year: 2025, Volume and Issue: unknown

Published: April 15, 2025

Light‐responsive materials enable the development of soft robots that are controlled remotely in 3D space and time without need for cumbersome wires, onboard batteries, or altering local environment. Azobenzene liquid crystal polymer networks one such material can move deform response to light actuation. Previous works have demonstrated azo‐based robotic grippers transporters powered by light. However, highly adaptive, automated spatiotemporal optical control over these has not yet been realized. Herein, a system an azobenzene elastomer arm is created dynamically patterning independently maneuverable joints. The nonlinear actuation characterized, broad explored with diverse configurations. A neural network trained on configurations corresponding laser pattern automate generation desired configuration. Finally, demonstrates complex targeted motion, marking important step toward optically actuated robotics applications ranging from optomechanics biomedical tools.

Language: Английский

Citations

0

Analysis of the Influence of Human Exposure to Risk and ESG as Motivators for the Implementation of Climbing and Mobile Robots DOI

D B Negri,

Amanda Fusinato,

Felipe Faria

et al.

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 9 - 20

Published: Jan. 1, 2024

Language: Английский

Citations

2

Multiscale Synergistic Gecko-Inspired Adhesive for Stable Adhesion under Varying Preload and Surface Roughness DOI
Chao Luo, Xinguo Ma, Yaling Zhang

et al.

Langmuir, Journal Year: 2024, Volume and Issue: 40(19), P. 9957 - 9964

Published: April 29, 2024

Inspired by geckos, fibrillar microstructures hold great promise as controllable and reversible adhesives in the engineering field. However, enhancing adhesion strength stability of gecko-inspired (GIAs) under complex real-world contact conditions, such rough surfaces varying force fields, is crucial for its commercialization, yet further research lacking. Here, we propose a hierarchically designed GIA, which features silicone foam (SF) backing layer film-terminated microstructure subtle multiscale design. This structure has been proven to have "multiscale synergistic effect", allowing material maintain strong stable with changing normal pressures roughness. Specifically, high load, adhesive 2 times more than that conventional it 1.5 stronger on compared GIA. Under pressure surface roughness simultaneously, 3.3 higher Our demonstrates effect biomimetic structures highly effective GIA some harsh conditions.

Language: Английский

Citations

2

Tuning Dry and Wet Adhesion with a Branched Supramolecular Polymer Solution DOI Creative Commons

Huan Yu,

Runlin Zhang, Yong‐Guang Jia

et al.

Small Science, Journal Year: 2023, Volume and Issue: 3(7)

Published: June 11, 2023

Endowing adhesives with both dry and wet adhesion to surfaces from hard substrates soft biological tissues is challenging. Herein, a branched supramolecular polymer introduced in dry‐ wet‐crosslinking forms adaptively achieve interfacial adhesion. The (PAMU) multiple pendant functional moieties prepared by one‐pot reversible addition‐fragmentation chain transfer polymerization. PAMU solution can firmly adhere glass sheets after the water evaporates. aqueous of residual double bonds be further polymerized form crosslinking network. hydrogen bonding endow network self‐healing properties, while situ polymerization leads stable tissues. This study provides promising approach develop for versatile applications.

Language: Английский

Citations

6