Manipulation Ability Research Articles

Evaluation of a Visual Cognitive Style in Autism: A Cluster Analysis.

Cognitive style refers to how individuals perceive their environment and solve problems. Among various cognitive styles documented, verbal and visual styles, including object versus spatial cognition, have been widely studied. "Thinking in pictures" is often associated with autism and characterized by enhanced performance and autonomy of certain perceptual areas. This study aimed to characterize the cognitive style of autistic individuals, focusing on this visual "thinking in pictures" style. We assessed 43 autistic and 42 non-autistic adults using the Object Spatial Imagery Verbal Questionnaire to evaluate three dimensions of their cognitive style: visual object, visual spatial, and verbal. Using a cluster analysis, we identified cognitive style profiles. We then examined manifestations of cognitive style within these profiles, including mental imagery abilities (with the Mental Rotation Test), the vividness of mental images (with the Vividness of Visual Imagery Questionnaire), language abilities (with the Mill Hill vocabulary test), and synesthetic experiences. Our results revealed three distinct cognitive profiles: a visual profile characterized by significant mental imagery and vivid mental images, a visuo-spatial profile associated with strong abilities to manipulate mental images but lower vividness of mental images, and a verbal profile with lower spatial imagery and manipulation abilities. While all profiles were observed in autistic individuals, the visual cognitive profile was the most common. Additionally, we found synesthesia to be more prevalent in the autistic population compared to the non-autistic population. This study confirms that, while not exclusive, a visual cognitive style is prevalent among autistic individuals.

Effects of 8 weeks of rhythmic physical activity on gross motor movements in 4-5-year-olds: A randomized controlled trial

ObjectiveRhythmic physical activity holds promise for positively influencing the gross motor development of 4-5-year-old children, yet empirical research in this domain remains limited. This study aimed to investigate the effects of rhythmic physical activity on the gross motor development in children aged 4–5 years. MethodsFifty children aged 4–5 years were recruited and randomly assigned to either the intervention or control group. Both groups participated in a 10-week intervention program facilitated by a professional trainer, with support from numerous dedicated volunteers from reputable sports universities. This program comprised a one-week baseline assessment followed by 8 weeks of rhythmic physical activity training conducted three times per week. Gross motor performance was assessed using the PGMQ scale before and one week after the intervention. ResultsFollowing the 8-week intervention, the intervention group demonstrated significant enhancements in displacement ability, with notable improvements observed in. Specifically, the scores for running, sliding lateral transfer, leaping step, two-footed back-and-forth jump, and total displacement ability showed significant increases (P < 0.05). Moreover, the total scores for running, standing long jump, sliding lateral transfer, leaping step, two-footed back-and-forth jump, and displacement ability exhibited significant differences between the intervention and control groups (P < 0.05). Regarding manipulative ability, the intervention group showed significant increases in scores for over-the-shoulder throwing, two-handed catching, and kicking (P < 0.05). Moreover, there were significant differences between groups in the scores for two-handed catching and kicking (P < 0.05). Concerning balance ability, the intervention group exhibited significant improvements in scores for single-leg stand, double-leg stand, and total balance ability (P < 0.05). No significant differences were observed in any of the indices within the control group (P > 0.05). The two-way repeated measures ANOVA of intervention × time revealed significant differences in scores for running, sliding lateral movement, leaping step, jumping back and forth with both feet, leading ability, kicking, manipulation ability, single-leg stand, double-leg stand, balance ability, and gross motor scores (P < 0.05). ConclusionsThis study underscores the beneficial impact of engaging in eight weeks of rhythmic physical activity on the gross motor development of 4-5-year-olds. Furthermore, the improvements in gross motor development achieved through rhythmic physical activity may surpass those obtained through general physical activity.

The Locomotor Movement Abilities of Children Aged 5-6 Years in Terms of Geographical Aspects (Coastal and Mountain Areas)

This study examines the differences in locomotor abilities of children aged 5-6 years in two locations, namely coastal and mountainous areas in Kebumen City, Indonesia. This is important because children's locomotor outcomes are still poor and there has been no identification of locomotor abilities judging from previous studies that only examined manipulative movement abilities. Overall, this study contributes greatly to future research by providing important insights into how environmental and geographical factors interact with children's physical development, which in turn can aid in the creation of more effective policies and interventions to support holistic child development. Using descriptive research methods, the population was 40 schools specifically for coastal and mountainous areas, then sampling was carried out in 2 stages, namely using cluster random sampling techniques and then purposive sampling. The sample size was 130 with details of 65 children in coastal areas and 65 in mountainous regions. This instrument has been validated and reliable on 135 children in Indonesia with a validity result of 2.27 &amp;gt; t table 1.65 and reliability of 0.765. The statistical test results showed a p value = 0.013 which means that there is a relationship between children's locomotor abilities with geography in the two different locations, namely mountains and coasts. The average child's locomotor ability in coastal areas was found to be superior compared to mountainous areas.

Nonclassical Spin‐Multiplexing Metasurfaces Enabled Multifunctional Meta‐Scope

AbstractDielectric metasurfaces have emerged as attractive devices for advanced imaging systems because of their high efficiency, ability of wavefront manipulation, and lightweight. The classical spin‐multiplexing metasurfaces can only provide two orthogonal circular polarization channels and require high phase contrast which limits their applications. Here, metasurfaces with arbitrary three independent channels are demonstrated by proposing a nonclassical spin‐multiplexing approach exploring the low refractive index meta‐atoms. A zoom microscope with on‐axis tri‐foci and a synchronous achiral‐chiral microscope with in‐plane tri‐foci based on silicon nitride metasurfaces are experimentally demonstrated. Based on the on‐axis tri‐foci metasurface, singlet zoom imaging with three magnifications and a broadband response (blue to red) based on a single metasurface is first demonstrated. A compact microscope (meta‐scope) consisting of two metasurfaces with three magnifications of 9.5, 10, and 29X with diffraction‐limited resolutions is further constructed, respectively. Utilizing the in‐plane tri‐foci metasurface, a singlet microscope with three achiral‐chiral channels is demonstrated. It offers a magnification of 53X and a diffraction‐limited resolution, enabling simultaneous imaging of an object's achiral and chiral properties. Our multifunctional metasurfaces and meta‐scope approaches could boost the applications in biological imaging and machine vision.

Causal representation learning through higher-level information extraction

The large gap between the generalization level of state-of-the-art machine learning and human learning systems calls for the development of artificial intelligence (AI) models that are truly inspired by human cognition. In tasks related to image analysis, searching for pixel-level regularities has reached a power of information extraction still far from what humans capture with image-based observations. This leads to poor generalization when even small shifts occur at the level of the observations. We explore a perspective on this problem that is directed to learning the generative process with causality-related foundations, using models capable of combining symbolic manipulation, probabilistic reasoning and pattern recognition abilities. We briefly review and explore connections of research from machine learning, cognitive science and related fields of human behavior to support our perspective for the direction to more robust and human-like artificial learning systems.

Mid-infrared ultrafast soliton molecules from a few-cycle Cr:ZnS laser

Soliton molecules, or soliton bound states, are envisioned to make far-reaching changes in both fundamental research and applications. Here, we report on the generation and precision manipulation of soliton molecules based on a Kerr-lens mode-locked single-crystal Cr:ZnS laser at 2.4 µm. In the classical soliton regime, self-starting near-transform-limited pulses with a duration of 37 fs, less than 5 optical cycles, have been obtained at a repetition frequency of 173 MHz and an average output power of 572 mW. By fine-tuning the cavity group-delay dispersion profile, bi-soliton states with pulse durations between 55 fs and 98 fs with temporal separations between 348 fs and 604 fs have been observed and characterized. These are the shortest pulse duration and separation of soliton molecules reported so far in the mid-infrared region, to the best of our knowledge. With the ability of precision manipulation of soliton molecules generated on a sub-100-fs timescale, the tunable mid-infrared soliton molecule source paves the way for applications in the fields of telecommunications and ultrafast laser technologies.

A nondestructive membrane engineering method using an amphiphilic polymer.

The cellular signaling process or ion transport is mediated by membrane proteins (MPs) located on the cell surface, and functional studies of MPs have mainly been conducted using cells endogenously or transiently expressing target proteins. Reconstitution of purified MPs in the surface of live cells would have advantages of short manipulation time and ability to target cells in which gene transfection is difficult. However, direct reconstitution of MPs in live cells has not been established. The traditional detergent-mediated reconstitution method of MPs into a lipid bilayer cannot be applied to live cells because this disrupts and reforms the lipid bilayer structure, which is detrimental to cell viability. In this study, we demonstrated that GPCRs (prostaglandin E2 receptor 4 [EP4] and glucagon-like peptide-1 receptor [GLP1R]) or serotonin receptor 3A (5HT3A), a ligand-gated ion channel, stabilized with amphiphilic poly-γ-glutamate (APG), can be reconstituted into mammalian cell plasma membranes without affecting cell viability. Furthermore, 5HT3A reconstituted in mammalian cells showed ligand-dependent Ca2+ ion transport activity. APG-mediated reconstitution of GPCR in synthetic liposomes showed that electrostatic interaction between APG and membrane surface charge contributed to the reconstitution process. This APG-mediated membrane engineering method could be applied to the functional modification of cell membranes with MPs in live cells.

Task-Oriented Robot Cognitive Manipulation Planning Using Affordance Segmentation and Logic Reasoning.

The purpose of task-oriented robot cognitive manipulation planning is to enable robots to select appropriate actions to manipulate appropriate parts of an object according to different tasks, so as to complete the human-like task execution. This ability is crucial for robots to understand how to manipulate and grasp objects under given tasks. This article proposes a task-oriented robot cognitive manipulation planning method using affordance segmentation and logic reasoning, which can provide robots with semantic reasoning skills about the most appropriate parts of the object to be manipulated and oriented by tasks. Object affordance can be obtained by constructing a convolutional neural network based on the attention mechanism. In view of the diversity of service tasks and objects in service environments, object/task ontologies are constructed to realize the management of objects and tasks, and the object-task affordances are established through causal probability logic. On this basis, the Dempster-Shafer theory is used to design a robot cognitive manipulation planning framework, which can reason manipulation regions' configuration for the intended task. The experimental results demonstrate that our proposed method can effectively improve the cognitive manipulation ability of robots and make robots preform various tasks more intelligently.

On-chip multi-degree-of-freedom control of two-dimensional materials.

Two-dimensional materials (2DM) and their heterostructures offer tunable electrical and optical properties, primarily modifiable through electrostatic gating and twisting. Although electrostatic gating is a well-established method for manipulating 2DM, achieving real-time control over interfacial properties remains challenging in exploring 2DM physics and advanced quantum device technology1-6. Current methods, often reliant on scanning microscopes, are limited in their scope of application, lacking the accessibility and scalability of electrostatic gating at the device level. Here we introduce an on-chip platform for 2DM with in situ adjustable interfacial properties, using a microelectromechanical system (MEMS). This platform comprises compact and cost-effective devices with the ability of precise voltage-controlled manipulation of 2DM, including approaching, twisting and pressurizing actions. We demonstrate this technology by creating synthetic topological singularities, such as merons, in the nonlinear optical susceptibility of twisted hexagonal boron nitride (h-BN)7-10. A key application of this technology is the development of integrated light sources with real-time and wide-range tunable polarization. Furthermore, we predict a quantum analogue that can generate entangled photon pairs with adjustable entanglement properties. Our work extends the abilities of existing technologies in manipulating low-dimensional quantum materials and paves the way for new hybrid two- and three-dimensional devices, with promising implications in condensed-matter physics, quantum optics and related fields.

Clinical and cognitive outcomes in first-episode psychosis: focus on the interplay between cannabis use and genetic variability in endocannabinoid receptors.

Research data show the impact of the endocannabinoid system on psychosis through its neurotransmission homeostatic functions. However, the effect of the endocannabinoid system genetic variability on the relationship between cannabis use and psychosis has been unexplored, even less in first-episode patients. Here, through a case-only design, we investigated the effect of cannabis use and the genetic variability of endocannabinoid receptors on clinical and cognitive outcomes in first-episode psychosis (FEP) patients. The sample comprised 50 FEP patients of European ancestry (mean age (sd) = 26.14 (6.55) years, 76% males), classified as cannabis users (58%) or cannabis non-users. Two Single Nucleotide Polymorphisms (SNP) were genotyped at the cannabinoid receptor type 1 gene (CNR1 rs1049353) and cannabinoid receptor type 2 gene (CNR2 rs2501431). Clinical (PANSS, GAF) and neuropsychological (WAIS, WMS, BADS) assessments were conducted. By means of linear regression models, we tested the main effect of cannabis use and its interaction with the polymorphic variants on the clinical and cognitive outcomes. First, as regards cannabis effects, our data showed a trend towards more severe positive symptoms (PANSS, p = 0.05) and better performance in manipulative abilities (matrix test-WAIS, p = 0.041) among cannabis users compared to non-users. Second, concerning the genotypic effects, the T allele carriers of the CNR1 rs1049353 presented higher PANSS disorganization scores than CC homozygotes (p = 0.014). Third, we detected that the observed association between cannabis and manipulative abilities is modified by the CNR2 polymorphism (p = 0.022): cannabis users carrying the G allele displayed better manipulative abilities than AA genotype carriers, while the cannabis non-users presented the opposite genotype-performance pattern. Such gene-environment interaction significantly improved the overall fit of the cannabis-only model (Δ-R2 = 8.4%, p = 0.019). Despite the preliminary nature of the sample, our findings point towards the role of genetic variants at CNR1 and CNR2 genes in the severity of the disorganized symptoms of first-episode psychosis and modulating cognitive performance conditional to cannabis use. This highlights the need for further characterization of the combined role of endocannabinoid system genetic variability and cannabis use in the understanding of the pathophysiology of psychosis.

Adaptive wrapping with active elastic band-based gripper for stable in-hand manipulation

Achieving both compliant grasping and robust in-hand manipulation for a robotic hand is a challenging task, especially for fragile or irregularly shaped objects. Active surface grippers usually rely on non-stretchable belts and compliant finger mechanisms for adaptive manipulation and grasping, requiring complex tensioning mechanisms that increase mechanical complexity. This paper presents a novel design of an active elastic band-based gripper, that can achieve translation and rotation of grasped objects with passive adaptive wrapping and active conveyor motion. The design utilizes pre-tensioned elastic bands that function simultaneously as an adaptive grasping mechanism and an active surface, conforming to the shape of the object shape and providing evenly distributed gripping forces. The principles of grasping and manipulation, as well as the fabrication process of the gripper are presented in this work, and the kinematics and workspace of the gripper with cylindrical objects are analyzed. Based on experiments, the contact stiffness model of the elastic band finger with cylindrical objects was established. To evaluate the performance of the gripper, we carried out experiments on manipulation objects with different shapes and sizes, such as boiled eggs, and fruits. Experimental results illustrated the adaptable grasping and stable in-hand manipulation ability of the gripper.

Sustainable Cleaning Solutions: A Microcontroller-Driven Autonomous Floor Cleaning System

The autonomous cleaning bot is a state-of-the-art robotic system that utilizes advanced cutting-edge technology to automate the cleaning process. This paper aims at presenting the design and implementation of an autonomous cleaning robot that efficiently and effectively cleans a variety of indoor spaces, from homes to commercial buildings, using a combination of sensors, algorithms, and cleaning tools. Additionally, this can detect walls and obstacles. Using various sensors, a path planning algorithm is developed to enable the robot to efficiently move and clean floors. Also, this robot can be controlled in a wireless manner via any Bluetooth-enabled device like smartphone or tablet. Localization algorithms, stereoscopic vision, wireless networks, and human-machine interaction are integrated to promote the working performance of this cleaning robot. The system's ability to navigate to specific locations according to the user’s ease and desire, in accordance with a map provided as predefined data, is showcased along with its capability to grasp objects and place them in designated locations, highlighting its improved perception and manipulation abilities. The robot is required to perform various functions such as cleaning the floor, picking up objects, and arranging them on the floor. For such a given floor task, the manipulability of the designated robot arms is analyzed through kinematics. Keywords: Autonomous floor cleaner, Sensors, Motors, Bluetooth-enabled.

Generation of parallel Bessel beams and cosine Bessel beams based on metasurface

In view of the powerful light field manipulation ability of metasurface and the wide applications of Bessel beams, parallel Bessel beams are generated based on a simple metasurface design. The proposed metasurface consists of cross nanoholes and the orders of the generated parallel Bessel beams can be modulated. Theoretical analysis provides the detailed design principle of metasurface to generate parallel Bessel beams. Parallel Bessel beams and parallel cosine Bessel beams are generated and the simulation and experimental results give the verification. With respect to the single Bessel beam, the generated parallel Bessel beams with controllable orders may bring more conveniences for the applications of Bessel beams. The simple geometry, parallel output and the controllable order will inspire wider applications of Bessel beams.

Dielectric topological metasurfaces based in-plane control of light propagation by using valley degrees of freedom

Metasurface has garnered widespread attention due to its remarkable ability of precise light manipulation. The emergence of topological photonics has brought novel topological phenomena and holds the promise of introducing new optical functionalities to the metasurfaces. In this paper, by introducing valley degrees of freedom into metasurfaces, we design and numerically simulate topological-nanostructure-enabled on-chip chiral light propagation and multistage beam splitting, as well as holographic display by integrating a beam-splitting metasurface with valley photonic crystals (VPCs). Importantly, the proposed on-chip topological optical devices exhibit broadband response covering 1480–1660 nm and low transmission losses with the maximum efficiency reaching 82 %. Our work is expected to bring new optical functionalities to the metasurface based devices and can be widely applied in fields of optical fiber communications, on-chip optical transportation and smart wearable devices, which require high-efficiency, broadband and highly-integrated optoelectronic elements and devices.

Influence of food physical properties and environmental context on manipulative behaviors highlighted by new methodological approaches in zoo-housed bonobos (Pan paniscus).

Research on manipulative abilities in nonhuman primates, in the context of hominid evolution, has mostly focused on manual/pedal postures considered as static behaviors. While these behavioral repertoires highlighted the range of manipulative abilities in many species, manipulation is a dynamic process that mostly involves successive types of grips before reaching its goal. The present study aims to investigate the use of manual/pedal postures in zoo-housed bonobos in diverse dynamic food processing by using an innovative approach: the optimal matching analysis that compares sequences (i.e., succession of grasping postures) with each other. To characterize the manipulative techniques spontaneously employed by bonobos, we performed this sequential analysis of manual/pedal postures during 766 complete feeding sequences of 17 individuals. We analyzed the effectiveness with a score defined by a partial proxy of food intake (i.e., the number of mouthfuls) linked to a handling score measuring both the diversity and changes of manual postures during each sequence. We identified four techniques, used differently depending on the physical substrate on which the individual performed food manipulation and the food physical properties. Our results showed that manipulative techniques were more complex (i.e., higher handling score) for large foods and on substrates with lower stability. But the effectiveness score was not significantly lower for these items since manipulative complexity seemed to be compensated by a greater number of mouthfuls. It appeared that the techniques employed involved a trade-off between manipulative complexity and the amount of food ingested. This study allowed us to test and validate innovative analysis methods that are applicable to diverse ethological studies involving sequential events. Our results bring new data for a better understanding of the evolution of manual abilities in primates in association with different ecological contexts and both terrestrial and arboreal substrates and suggest that social and individual influences need to be explored further.

Monolithically integrated wide field-of-view metalens by angular dispersionless metasurface

Meta-lenses, which are made by sub-wavelength metallic or dielectric elements, have attracted widespread attentions due to its unprecedented electromagnetic wave manipulation abilities and novel applications. Dissimilar to previous metalens doublet by all-dielectric metasurfaces in the optical band, an innovative and more robust approach by angular dispersionless meta-atom to directly eliminate aberrations in low spectrum is proposed. As a proof of concept, an elaborately selected singlet metallic resonator for simultaneously high transmission, full phase coverage and the ignored angular dispersion is presented in the microwave. The designed metalens with only one single phase gradient profile can focus wide field-of-view (FOV) incident waves of ± 40° with both a large numerical aperture of 0.56 (NA = 0.56) and high focusing efficiency of 53 % on average at microwave regime. The metalens is also fabricated by a single-step printed circuit board technique and the measured high-performance focusing are also achieved for the entire FOV. The presented on-chip and integrated wide FOV metalens provides a simple yet cost-effective method to develop wide-angle metalenses especially in low frequency band where plasmonic metasurfaces are commonly adopted. Besides, its excellent wide-angle focusing performances can satisfy diverse applications in modern radar engineering such as imaging, sensing, communications and detection, etc.

Magnetoplasmonic Metasurface-Modulated Electrochemiluminescence Strategy for Extracellular Vesicle Detection.

Due to the ideal optical manipulation ability, the metasurface has broad prospects in the development of novel optical research. In particular, an active metasurface can control optical response through external stimulus, which has attracted great research interest. However, achieving effective modulation of the optical response is a significant challenge. In this work, we have developed a novel electrochemiluminescence (ECL) signal modulation strategy by an active magnetoplasmonic metasurface under an external magnetic field. The magnetoplasmonic metasurface was assembled based on yolk-shell Fe3O4@Au nanoparticles (Fe3O4@Au YS-NPs). On the one hand, the yolk-shell structure of Fe3O4@Au YS-NPs possessed the surface plasmon coupling effect and cavity-based Purcell effect, which provided high-intensity electromagnetic hot spots in the magnetoplasmonic metasurface. On the other hand, due to the strong magnetic response of the Fe3O4 core, the local magnetic field was induced by the external magnetic field, which further generated Lorentz force acting on the free electrons of Au nanoshells with strong optical anisotropy. The plasmon frequency of the metasurface can be effectively modulated by the Lorentz force effect. As a result, the ECL signal of nitrogen dots (N dots) was dynamically modulated and significantly enhanced at a specific polarization angle by the magnetoplasmonic metasurface under the variable external magnetic field. Based on the luminescence modulation ability and structure feature, the magnetoplasmonic metasurface was further established successfully as a sensing interface for gastric cancer (GC) extracellular vesicle (EV) detection. This study illustrated that the electromagnetic response of the active metasurface can effectively improve the optical modulation ability and luminescence sensing performance.

A Sensorized Soft Robotic Hand with Adhesive Fingertips for Multimode Grasping and Manipulation.

Soft robotic grippers excel at achieving conformal and reliable contact with objects without the need for complex control algorithms. However, they still lack in grasp and manipulation abilities compared with human hands. In this study, we present a sensorized multi-fingered soft gripper with bioinspired adhesive fingertips that can provide both fingertip-based adhesion grasping and finger-based form closure grasping modes. The gripper incorporates mushroom-like microstructures on its adhesive fingertips, enabling robust adhesion through uniform load shearing. A single fingertip exhibits a maximum load capacity of 4.18 N against a flat substrate. The soft fingers have multiple joints, and each joint can be independently actuated through pneumatic control. This enables diverse bending motions and stable grasping of various objects, with a maximum load capacity of 28.29 N for three fingers. In addition, the soft gripper is equipped with a kirigami-patterned stretchable sensor for motion monitoring and control. We demonstrate the effectiveness of our design by successfully grasping and manipulating a diverse range of objects with varying shapes, sizes, and curvatures. Moreover, we present the practical application of our sensorized soft gripper for remotely controlled cooking.

Fine Motor Skills, a Surrogate of Motor Planning Ability, at Age 2 Predict Social Skills at Age 6.

Motor planning is the cognitive process of planning necessary steps for achieving a purposeful movement and is specifically reflected through object manipulation. This study aimed to investigate whether fine motor skills, a surrogate of the motor planning ability of object manipulation, in early childhood are associated with later social skills, in a general-population birth cohort. A total of 913 children, participating in the Hamamatsu Birth Cohort for Mothers and Children, were enrolled. Social skills were measured using the Vineland Adaptive Behavior Scales-II, Socialization domain, at age 6 years. Fine motor skills were measured using the Mullen Scales of Early Learning at 14, 24, and 32 months. The associations between fine motor skills at ages 14, 24, and 32 months and social skills at age 6 years were tested separately through multivariable linear regression after adjusting for covariates, including gross motor and language skills at the contemporaneous age, autistic symptoms at age 6 years, and demographic factors. Fine motor skills at 24 and 32 months were significantly associated with social skills at age 6 years (at 24 months: nonstandardized regression coefficient = 1.38 [95% CI, 0.50-2.26], p = 0.002; at 32 months: 1.47 [0.56-2.38], p = 0.001). Fine motor skills in early childhood predicted social skills at age 6 years, indicating an association between the complex motor planning ability of object manipulation and later social skills. Children who demonstrate fine motor delay at as early an age as 2 years should be closely monitored by child professionals.

Tunable VO2 cavity enables multispectral manipulation from visible to microwave frequencies

Optical materials capable of dynamically manipulating electromagnetic waves are an emerging field in memories, optical modulators, and thermal management. Recently, their multispectral design preliminarily attracts much attention, aiming to enhance their efficiency and integration of functionalities. However, the multispectral manipulation based on these materials is challenging due to their ubiquitous wavelength dependence restricting their capacity to narrow wavelengths. In this article, we cascade multiple tunable optical cavities with selective-transparent layers, enabling a universal approach to overcoming wavelength dependence and establishing a multispectral platform with highly integrated functions. Based on it, we demonstrate the multispectral (ranging from 400 nm to 3 cm), fast response speed (0.9 s), and reversible manipulation based on a typical phase change material, vanadium dioxide. Our platform involves tandem VO2-based Fabry–Pérot (F-P) cavities enabling the customization of optical responses at target bands independently. It can achieve broadband color-changing capacity in the visible region (a shift of ~60 nm in resonant wavelength) and is capable of freely switching between three typical optical models (transmittance, reflectance, and absorptance) in the infrared to microwave regions with drastic amplitude tunability exceeding 0.7. This work represents a state-of-art advance in multispectral optics and material science, providing a critical approach for expanding the multispectral manipulation ability of optical systems.