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Yuan W, Deng X, Wang Z, Ma T, Yan S, Gao X, Li J, Ma X, Yin J, Hu K, Zhang W, Jiang X. Photochemical Design for Diverse Controllable Patterns in Self-Wrinkling Films. Adv Mater 2024:e2400849. [PMID: 38567824 DOI: 10.1002/adma.202400849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 03/11/2024] [Indexed: 04/11/2024]
Abstract
Harnessing the spontaneous surface instability of pliable substances to create intricate, well-ordered, and on-demand controlled surface patterns holds great potential for advancing applications in optical, electrical, and biological processes. However, the current limitations stem from challenges in modulating multidirectional stress fields and diverse boundary environments. Herein, this work proposes a universal strategy to achieve arbitrarily controllable wrinkle patterns via the spatiotemporal photochemical boundaries. Utilizing constraints and inductive effects of the photochemical boundaries, the multiple coupling relationship is accomplished among the light fields, stress fields, and morphology of wrinkles in photosensitive polyurethane (PSPU) film. Moreover, employing sequential light-irradiation with photomask enables the attainment of a diverse array of controllable patterns, ranging from highly ordered 2D patterns to periodic or intricate designs. The fundamental mechanics of underlying buckling and the formation of surface features are comprehensively elucidated through theoretical stimulation and finite element analysis. The results reveal the evolution laws of wrinkles under photochemical boundaries and represent a new effective toolkit for fabricating intricate and captivating patterns in single-layer films.
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Affiliation(s)
- Wenqiang Yuan
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, State Key Laboratory for Metal Matrix Composite Materials, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Xinlu Deng
- School of Mechanical Engineering, State Key Laboratory of Mechanical Systems and Vibration, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Zehong Wang
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, State Key Laboratory for Metal Matrix Composite Materials, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Tianjiao Ma
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, State Key Laboratory for Metal Matrix Composite Materials, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Shuzhen Yan
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, State Key Laboratory for Metal Matrix Composite Materials, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Xiaxin Gao
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, State Key Laboratory for Metal Matrix Composite Materials, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Jin Li
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, State Key Laboratory for Metal Matrix Composite Materials, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Xiaodong Ma
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, State Key Laboratory for Metal Matrix Composite Materials, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Jie Yin
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, State Key Laboratory for Metal Matrix Composite Materials, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Kaiming Hu
- School of Mechanical Engineering, State Key Laboratory of Mechanical Systems and Vibration, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Wenming Zhang
- School of Mechanical Engineering, State Key Laboratory of Mechanical Systems and Vibration, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Xuesong Jiang
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, State Key Laboratory for Metal Matrix Composite Materials, Shanghai Jiao Tong University, Shanghai, 200240, China
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2
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Li Y, Li K, Fu F, Li Y, Li B. The Functions of Phasic Wing-Tip Folding on Flapping-Wing Aerodynamics. Biomimetics (Basel) 2024; 9:183. [PMID: 38534868 DOI: 10.3390/biomimetics9030183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 03/14/2024] [Accepted: 03/14/2024] [Indexed: 03/28/2024] Open
Abstract
Insects produce a variety of highly acrobatic maneuvers in flight owing to their ability to achieve various wing-stroke trajectories. Among them, beetles can quickly change their flight velocities and make agile turns. In this work, we report a newly discovered phasic wing-tip-folding phenomenon and its aerodynamic basis in beetles. The wings' flapping trajectories and aerodynamic forces of the tethered flying beetles were recorded simultaneously via motion capture cameras and a force sensor, respectively. The results verified that phasic active spanwise-folding and deployment (PASFD) can exist during flapping flight. The folding of the wing-tips of beetles significantly decreased aerodynamic forces without any changes in flapping frequency. Specifically, compared with no-folding-and-deployment wings, the lift and forward thrust generated by bilateral-folding-and-deployment wings reduced by 52.2% and 63.0%, respectively. Moreover, unilateral-folding-and-deployment flapping flight was found, which produced a lateral force (8.65 mN). Therefore, a micro-flapping-wing mechanism with PASFD was then designed, fabricated, and tested in a motion capture and force measurement system to validate its phasic folding functions and aerodynamic performance under different operating frequencies. The results successfully demonstrated a significant decrease in flight forces. This work provides valuable insights for the development of flapping-wing micro-air-vehicles with high maneuverability.
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Affiliation(s)
- Yiming Li
- Guangdong Provincial Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robots, Harbin Institute of Technology, Shenzhen 518055, China
- Key University Laboratory of Mechanism & Machine Theory and Intelligent Unmanned Systems of Guangdong, Harbin Institute of Technology, Shenzhen 518055, China
- School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen 518055, China
| | - Keyu Li
- Guangdong Provincial Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robots, Harbin Institute of Technology, Shenzhen 518055, China
- Key University Laboratory of Mechanism & Machine Theory and Intelligent Unmanned Systems of Guangdong, Harbin Institute of Technology, Shenzhen 518055, China
- School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen 518055, China
| | - Fang Fu
- College of Art and Design, Shenzhen University, Shenzhen 518060, China
| | - Yao Li
- Guangdong Provincial Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robots, Harbin Institute of Technology, Shenzhen 518055, China
- Key University Laboratory of Mechanism & Machine Theory and Intelligent Unmanned Systems of Guangdong, Harbin Institute of Technology, Shenzhen 518055, China
- School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen 518055, China
| | - Bing Li
- Guangdong Provincial Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robots, Harbin Institute of Technology, Shenzhen 518055, China
- Key University Laboratory of Mechanism & Machine Theory and Intelligent Unmanned Systems of Guangdong, Harbin Institute of Technology, Shenzhen 518055, China
- School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen 518055, China
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3
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Tang L, Wang C, Ma S, Li Y, Li B. Multidirectional Planar Motion Transmission on a Single-Motor Actuated Robot via Microscopic Galumphing. Adv Sci (Weinh) 2024; 11:e2307738. [PMID: 38093662 PMCID: PMC10916667 DOI: 10.1002/advs.202307738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 11/22/2023] [Indexed: 12/20/2023]
Abstract
Insect-scale mobile robots can execute diverse arrays of tasks in confined spaces. Although most self-contained crawling robots integrate multiple actuators to ensure high flexibility, the intricate actuators restrict their miniaturization. Conversely, robots with a single actuator lack the requisite agility and precision for planar movements. Herein, a novel eccentric rotation-dependent multidirectional transmission is presented using a tilted eccentric motor and a simplistic two-legged structural configuration for planar locomotion. The speed of the eccentric motor is modulated to enable alternating microscopic jumps to propel the system, creating a mode of motion analogous to galumphing of seals. Upon modeling the motion dynamics and conducting experiments, the effectiveness of direct motion transmission is substantiated through microscopic galumphing encompassing left/right crawling and straight-forward crawling. Finally, a 1.2 g untethered robot is developed, which demonstrates enhanced straight crawling and spot turning, traverses narrow tunnels, and achieves precise movements. Therefore, the proposed motion-transmission technique provides a comprehensive set of innovative solutions of underactuated agile robots.
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Affiliation(s)
- Lingqi Tang
- School of Mechanical Engineering and AutomationHarbin Institute of TechnologyShenzhen518055China
| | - Chenghao Wang
- School of Mechanical Engineering and AutomationHarbin Institute of TechnologyShenzhen518055China
| | - Songsong Ma
- School of Mechanical Engineering and AutomationHarbin Institute of TechnologyShenzhen518055China
| | - Yao Li
- School of Mechanical Engineering and AutomationHarbin Institute of TechnologyShenzhen518055China
- Guangdong Key Laboratory of Intelligent Morphing Mechanisms and Adaptive RoboticsHarbin Institute of TechnologyShenzhen518055China
| | - Bing Li
- School of Mechanical Engineering and AutomationHarbin Institute of TechnologyShenzhen518055China
- Guangdong Key Laboratory of Intelligent Morphing Mechanisms and Adaptive RoboticsHarbin Institute of TechnologyShenzhen518055China
- State Key Laboratory of Robotics and SystemHarbin Institute of TechnologyHarbin150001China
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4
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Xin YH, Hu KM, Yin HZ, Deng XL, Dong ZQ, Yan SZ, Jiang XS, Meng G, Zhang WM. Dynamic Optical Encryption Fueled via Tunable Mechanical Composite Micrograting Systems. Adv Mater 2024:e2312650. [PMID: 38339884 DOI: 10.1002/adma.202312650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 01/18/2024] [Indexed: 02/12/2024]
Abstract
Optical grating devices based on micro/nanostructured functional surfaces are widely employed to precisely manipulate light propagation, which is significant for information technologies, optical data storage, and light sensors. However, the parameters of rigid periodic structures are difficult to tune after manufacturing, which seriously limits their capacity for in situ light manipulation. Here, a novel anti-eavesdropping, anti-damage, and anti-tamper dynamic optical encryption strategy are reported via tunable mechanical composite wrinkle micrograting encryption systems (MCWGES). By mechanically composing multiple in-situ tunable ordered wrinkle gratings, the dynamic keys with large space capacity are generated to obtain encrypted diffraction patterns, which can provide a higher level of security for the encrypted systems. Furthermore, a multiple grating cone diffraction model is proposed to reveal the dynamic optical encryption principle of MCWGES. Optical encryption communication using dynamic keys has the effect of preventing eavesdropping, damage, and tampering. This dynamic encryption method based on optical manipulation of wrinkle grating demonstrates the potential applications of micro/nanostructured functional surfaces in the field of information security.
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Affiliation(s)
- Yi-Hang Xin
- State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Kai-Ming Hu
- State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Hao-Zhe Yin
- State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Xin-Lu Deng
- State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Zhi-Qi Dong
- State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Shu-Zhen Yan
- School of Chemistry and Chemical Engineering, State Key Laboratory for Metal Matrix Composite Materials, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Xue-Song Jiang
- School of Chemistry and Chemical Engineering, State Key Laboratory for Metal Matrix Composite Materials, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Guang Meng
- State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Wen-Ming Zhang
- State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
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5
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Li Q, Wei L, Zhong N, Shi X, Han D, Zheng S, Du F, Shi J, Chen J, Huang H, Duan C, Qian X. Low-k nano-dielectrics facilitate electric-field induced phase transition in high-k ferroelectric polymers for sustainable electrocaloric refrigeration. Nat Commun 2024; 15:702. [PMID: 38267410 PMCID: PMC10808131 DOI: 10.1038/s41467-024-44926-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 01/10/2024] [Indexed: 01/26/2024] Open
Abstract
Ferroelectric polymer-based electrocaloric effect may lead to sustainable heat pumps and refrigeration owing to the large electrocaloric-induced entropy changes, flexible, lightweight and zero-global warming potential. Herein, low-k nanodiamonds are served as extrinsic dielectric fillers to fabricate polymeric nanocomposites for electrocaloric refrigeration. As low-k nanofillers are naturally polar-inactive, hence they have been widely applied for consolidate electrical stability in dielectrics. Interestingly, we observe that the nanodiamonds markedly enhances the electrocaloric effect in relaxor ferroelectrics. Compared with their high-k counterparts that have been extensively studied in the field of electrocaloric nanocomposites, the nanodiamonds introduces the highest volumetric electrocaloric enhancement (~23%/vol%). The resulting polymeric nanocomposite exhibits concurrently improved electrocaloric effect (160%), thermal conductivity (175%) and electrical stability (125%), which allow a fluid-solid coupling-based electrocaloric refrigerator to exhibit an improved coefficient of performance from 0.8 to 5.3 (660%) while maintaining high cooling power (over 240 W) at a temperature span of 10 K.
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Affiliation(s)
- Qiang Li
- State Key Laboratory of Mechanical System and Vibration, Interdisciplinary Research Center, Institute of Refrigeration and Cryogenics, and MOE Key Laboratory for Power Machinery and Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Luqi Wei
- Key Laboratory of Polar Materials and Devices, Ministry of Education, Shanghai Center of Brain-inspired Intelligent Materials and Devices, East China Normal University, Shanghai, 200241, China
| | - Ni Zhong
- Key Laboratory of Polar Materials and Devices, Ministry of Education, Shanghai Center of Brain-inspired Intelligent Materials and Devices, East China Normal University, Shanghai, 200241, China
| | - Xiaoming Shi
- School of Materials Science and Engineering and Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, 100081, Beijing, China
| | - Donglin Han
- State Key Laboratory of Mechanical System and Vibration, Interdisciplinary Research Center, Institute of Refrigeration and Cryogenics, and MOE Key Laboratory for Power Machinery and Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Shanyu Zheng
- State Key Laboratory of Mechanical System and Vibration, Interdisciplinary Research Center, Institute of Refrigeration and Cryogenics, and MOE Key Laboratory for Power Machinery and Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Feihong Du
- State Key Laboratory of Mechanical System and Vibration, Interdisciplinary Research Center, Institute of Refrigeration and Cryogenics, and MOE Key Laboratory for Power Machinery and Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Junye Shi
- State Key Laboratory of Mechanical System and Vibration, Interdisciplinary Research Center, Institute of Refrigeration and Cryogenics, and MOE Key Laboratory for Power Machinery and Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Jiangping Chen
- State Key Laboratory of Mechanical System and Vibration, Interdisciplinary Research Center, Institute of Refrigeration and Cryogenics, and MOE Key Laboratory for Power Machinery and Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Houbing Huang
- School of Materials Science and Engineering and Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, 100081, Beijing, China
| | - Chungang Duan
- Key Laboratory of Polar Materials and Devices, Ministry of Education, Shanghai Center of Brain-inspired Intelligent Materials and Devices, East China Normal University, Shanghai, 200241, China
| | - Xiaoshi Qian
- State Key Laboratory of Mechanical System and Vibration, Interdisciplinary Research Center, Institute of Refrigeration and Cryogenics, and MOE Key Laboratory for Power Machinery and Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
- Shanghai Jiao Tong University ZhongGuanCun Research Institute, Liyang, 213300, China.
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6
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Zhang D, Yi P, Lai X, Peng L, Li H. Active machine learning model for the dynamic simulation and growth mechanisms of carbon on metal surface. Nat Commun 2024; 15:344. [PMID: 38184678 PMCID: PMC10771457 DOI: 10.1038/s41467-023-44525-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 12/18/2023] [Indexed: 01/08/2024] Open
Abstract
Substrate-catalyzed growth offers a highly promising approach for the controlled synthesis of carbon nanostructures. However, the growth mechanisms on dynamic catalytic surfaces and the development of more general design strategies remain ongoing challenges. Here we show how an active machine-learning model effectively reveals the microscopic processes involved in substrate-catalyzed growth. Utilizing a synergistic approach of molecular dynamics and time-stamped force-biased Monte Carlo methods, augmented by the Gaussian Approximation Potential, we perform fully dynamic simulations of graphene growth on Cu(111). Our findings accurately replicate essential subprocesses-from the preferred diffusion of carbon monomer/dimer, chain or ring formations to edge-passivated Cu-aided graphene growth and bond breaks by ion impacts. Extending our simulations to carbon deposition on metal surfaces like Cu(111), Cr(110), Ti(001), and oxygen-contaminated Cu(111), our results align closely with experimental observations, providing a practical and efficient approach for designing metallic or alloy substrates to achieve desired carbon nanostructures and explore further reaction possibilities.
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Affiliation(s)
- Di Zhang
- State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, 200240, Shanghai, People's Republic of China.
- Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai, 980-8577, Japan.
| | - Peiyun Yi
- State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, 200240, Shanghai, People's Republic of China
- Shanghai Key Laboratory of Digital Manufacture for Thin-walled Structures, Shanghai Jiao Tong University, 200240, Shanghai, People's Republic of China
| | - Xinmin Lai
- State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, 200240, Shanghai, People's Republic of China
- Shanghai Key Laboratory of Digital Manufacture for Thin-walled Structures, Shanghai Jiao Tong University, 200240, Shanghai, People's Republic of China
| | - Linfa Peng
- State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, 200240, Shanghai, People's Republic of China.
- Shanghai Key Laboratory of Digital Manufacture for Thin-walled Structures, Shanghai Jiao Tong University, 200240, Shanghai, People's Republic of China.
| | - Hao Li
- Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai, 980-8577, Japan.
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Hou G, Zhang X, Du F, Wu Y, Zhang X, Lei Z, Lu W, Zhang F, Yang G, Wang H, Liu Z, Wang R, Ge Q, Chen J, Meng G, Fang NX, Qian X. Self-regulated underwater phototaxis of a photoresponsive hydrogel-based phototactic vehicle. Nat Nanotechnol 2023:10.1038/s41565-023-01490-4. [PMID: 37605045 DOI: 10.1038/s41565-023-01490-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 07/11/2023] [Indexed: 08/23/2023]
Abstract
Incorporating a negative feedback loop in a synthetic material to enable complex self-regulative behaviours akin to living organisms remains a design challenge. Here we show that a hydrogel-based vehicle can follow the directions of photonic illumination with directional regulation inside a constraint-free, fluidic space. By manipulating the customized photothermal nanoparticles and the microscale pores in the polymeric matrix, we achieved strong chemomechanical deformation of the soft material. The vehicle swiftly assumes an optimal pose and creates directional flow around itself, which it follows to achieve robust full-space phototaxis. In addition, this phototaxis enables a series of complex underwater locomotions. We demonstrate that this versatility is generated by the synergy of photothermofluidic interactions resulting in closed-loop self-control and fast reconfigurability. The untethered, electronics-free, ambient-powered hydrogel vehicle manoeuvres through obstacles agilely, following illumination cues of moderate intensities, similar to that of natural sunlight.
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Affiliation(s)
- Guodong Hou
- State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China
- Interdisciplinary Research Centre for Engineering Science, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
- Institute of Refrigeration and Cryogenics, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
- Institute of Engineering Thermophysics, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Xu Zhang
- State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China
| | - Feihong Du
- State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China
- Interdisciplinary Research Centre for Engineering Science, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
- Institute of Refrigeration and Cryogenics, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Yadong Wu
- Institute of Aerospace Propulsion, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Xing Zhang
- State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China
| | - Zhijie Lei
- State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China
- Interdisciplinary Research Centre for Engineering Science, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
- Institute of Refrigeration and Cryogenics, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Wei Lu
- State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China
- Interdisciplinary Research Centre for Engineering Science, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
- Institute of Refrigeration and Cryogenics, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Feiyu Zhang
- State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China
- Interdisciplinary Research Centre for Engineering Science, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
- Institute of Refrigeration and Cryogenics, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Guang Yang
- Institute of Refrigeration and Cryogenics, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Huamiao Wang
- State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China
| | - Zhenyu Liu
- Institute of Engineering Thermophysics, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Rong Wang
- Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Qi Ge
- Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Jiangping Chen
- State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China
- Institute of Refrigeration and Cryogenics, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Guang Meng
- State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China
- Interdisciplinary Research Centre for Engineering Science, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Nicholas X Fang
- Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, China.
| | - Xiaoshi Qian
- State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China.
- Interdisciplinary Research Centre for Engineering Science, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.
- Institute of Refrigeration and Cryogenics, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.
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8
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Wang D, Zhao B, Li X, Dong L, Zhang M, Zou J, Gu G. Dexterous electrical-driven soft robots with reconfigurable chiral-lattice foot design. Nat Commun 2023; 14:5067. [PMID: 37604806 PMCID: PMC10442442 DOI: 10.1038/s41467-023-40626-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 08/04/2023] [Indexed: 08/23/2023] Open
Abstract
Dexterous locomotion, such as immediate direction change during fast movement or shape reconfiguration to perform diverse tasks, are essential animal survival strategies which have not been achieved in existing soft robots. Here, we present a kind of small-scale dexterous soft robot, consisting of an active dielectric elastomer artificial muscle and reconfigurable chiral-lattice foot, that enables immediate and reversible forward, backward and circular direction changes during fast movement under single voltage input. Our electric-driven soft robot with the structural design can be combined with smart materials to realize multimodal functions via shape reconfigurations under the external stimulus. We experimentally demonstrate that our dexterous soft robots can reach arbitrary points in a plane, form complex trajectories, or lower the height to pass through a narrow tunnel. The proposed structural design and shape reconfigurability may pave the way for next-generation autonomous soft robots with dexterous locomotion.
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Affiliation(s)
- Dong Wang
- State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, 200240, Shanghai, China.
- Meta Robotics Institute, Shanghai Jiao Tong University, 200240, Shanghai, China.
| | - Baowen Zhao
- State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, 200240, Shanghai, China
| | - Xinlei Li
- State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, 200240, Shanghai, China
| | - Le Dong
- State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, 200240, Shanghai, China
| | - Mengjie Zhang
- State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, 200240, Shanghai, China
| | - Jiang Zou
- State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, 200240, Shanghai, China
| | - Guoying Gu
- State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, 200240, Shanghai, China.
- Meta Robotics Institute, Shanghai Jiao Tong University, 200240, Shanghai, China.
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9
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Meng J, Wu Z, Li S, Zhu X. Effects of Gaze Fixation on the Performance of a Motor Imagery-Based Brain-Computer Interface. Front Hum Neurosci 2022; 15:773603. [PMID: 35140593 PMCID: PMC8818858 DOI: 10.3389/fnhum.2021.773603] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 12/08/2021] [Indexed: 11/13/2022] Open
Abstract
Motor imagery-based brain-computer interfaces (BCIs) have been studied without controlling subjects’ gaze fixation position previously. The effect of gaze fixation and covert attention on the behavioral performance of BCI is still unknown. This study designed a gaze fixation controlled experiment. Subjects were required to conduct a secondary task of gaze fixation when performing the primary task of motor imagination. Subjects’ performance was analyzed according to the relationship between motor imagery target and the gaze fixation position, resulting in three BCI control conditions, i.e., congruent, incongruent, and center cross trials. A group of fourteen subjects was recruited. The average group performances of three different conditions did not show statistically significant differences in terms of BCI control accuracy, feedback duration, and trajectory length. Further analysis of gaze shift response time revealed a significantly shorter response time for congruent trials compared to incongruent trials. Meanwhile, the parietal occipital cortex also showed active neural activities for congruent and incongruent trials, and this was revealed by a contrast analysis of R-square values and lateralization index. However, the lateralization index computed from the parietal and occipital areas was not correlated with the BCI behavioral performance. Subjects’ BCI behavioral performance was not affected by the position of gaze fixation and covert attention. This indicated that motor imagery-based BCI could be used freely in robotic arm control without sacrificing performance.
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Affiliation(s)
- Jianjun Meng
- Department of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
- *Correspondence: Jianjun Meng,
| | - Zehan Wu
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Songwei Li
- Department of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Xiangyang Zhu
- Department of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
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Li S, Duan J, Sun Y, Sheng X, Zhu X, Meng J. Exploring Fatigue Effects on Performance Variation of Intensive Brain-Computer Interface Practice. Front Neurosci 2021; 15:773790. [PMID: 34924942 PMCID: PMC8678598 DOI: 10.3389/fnins.2021.773790] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 10/29/2021] [Indexed: 11/13/2022] Open
Abstract
Motor imagery (MI) is an endogenous mental process and is commonly used as an electroencephalogram (EEG)-based brain-computer interface (BCI) strategy. Previous studies of P300 and MI-based (without online feedback) BCI have shown that mental states like fatigue can negatively affect participants' EEG signatures. However, exogenous stimuli cause visual fatigue, which might have a different mechanism than endogenous tasks do. Furthermore, subjects could adjust themselves if online feedback is provided. In this sense, it is still unclear how fatigue affects online MI-based BCI performance. With this question, 12 healthy subjects are recruited to investigate this issue, and an MI-based online BCI experiment is performed for four sessions on different days. The first session is for training, and the other three sessions differ in rest condition and duration-no rest, 16-min eyes-open rest, and 16-min eyes-closed rest-arranged in a pseudo-random order. Multidimensional fatigue inventory (MFI) and short stress state questionnaire (SSSQ) reveal that general fatigue, mental fatigue, and distress have increased, while engagement has decreased significantly within certain sessions. However, the BCI performances, including percent valid correct (PVC) and information transfer rate (ITR), show no significant change across 400 trials. The results suggest that although the repetitive MI task has affected subjects' mental states, their BCI performances and feature separability within a session are not affected by the task significantly. Further electrophysiological analysis reveals that the alpha-band power in the sensorimotor area has an increasing tendency, while event-related desynchronization (ERD) modulation level has a decreasing trend. During the rest time, no physiological difference has been found in the eyes-open rest condition; on the contrary, the alpha-band power increase and subsequent decrease appear in the eyes-closed rest condition. In summary, this experiment shows evidence that mental states can change dramatically in the intensive MI-BCI practice, but BCI performances could be maintained.
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Affiliation(s)
- Songwei Li
- State Key Laboratory of Mechanical Systems and Vibrations, Institute of Robotics, Shanghai Jiao Tong University, Shanghai, China
| | - Junyi Duan
- State Key Laboratory of Mechanical Systems and Vibrations, Institute of Robotics, Shanghai Jiao Tong University, Shanghai, China
| | - Yu Sun
- Key Laboratory for Biomedical Engineering of Ministry of Education of China, Department of Biomedical Engineering, Zhejiang University, Hangzhou, China
| | - Xinjun Sheng
- State Key Laboratory of Mechanical Systems and Vibrations, Institute of Robotics, Shanghai Jiao Tong University, Shanghai, China
| | - Xiangyang Zhu
- State Key Laboratory of Mechanical Systems and Vibrations, Institute of Robotics, Shanghai Jiao Tong University, Shanghai, China
| | - Jianjun Meng
- State Key Laboratory of Mechanical Systems and Vibrations, Institute of Robotics, Shanghai Jiao Tong University, Shanghai, China
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