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Manipulation - Science topic
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Publications related to Manipulation (10,000)
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A mechanical assembly puzzle is a set of pieces which must be interlinked and manipulated into a shape which is considered to be the solution. These puzzles are amusing in their own right
and often used as ‘brain teasers’ to encourage development of problem-solving skills. In this article, we give examples of some one-move assembly puzzles and sug...
This paper examines the phonetics and phonology of lenition in Taiwanese Southern Min, focusing on intervocalic voicing as a crucial manifestation. To systematically explore the phonetic realizations of intervocalic voicing, recognized widely as a typical instantiation of lenition, an electroglottography (EGG) study was conducted. This study manipu...
In linguistics and dialectology some maintain that our study of language is objective, “derived from the data itself” (Elspaß, Dürscheid & Ziegler 2017: 71). The present talk critically probes, for one language (German) and one context (post-1866 Austria), that linguistics and dialectology do not function in socially and politically empty space (e....
We review the evidence and history of decipherment on the technologies used for representing and manipulating numbers by the Inkas-khipus and yupanas. We offer a novel interpretation of the portable "checkerboard" yupana drawn in 1615 by Guamán Poma, revealing a numerical algorithm. This analysis sheds new light on the Inka number system, questioni...
Performing inspection and maintenance tasks with aerial robots in complex industrial facilities requires high levels of maneuverability and dexterity. As full autonomy still struggles to provide robust solutions due to limited adaptability and high development costs, this study explores the paradigm shift towards shared control teleoperation for ti...
Efficiency demands that we work smarter and not harder, but is this better for our wellbeing? Here, we ask if exerting effort on a task can increase feelings of meaning and purpose. In six studies (N = 2883), we manipulated how much effort participants exerted on a task and then assessed how meaningful they found those tasks. In Studies 1 and 2, we...
This project will address the applications of artificial neural network operators in approximation theory and morphological image processing. As is known, Cardaliagnet and Euvrard proposed an approach using neural networks to approximate a function in 1992. These operators, referred to as neural network operators in the literature, preserved the ap...
We focus on human-robot collaborative transport, in which a robot and a user collaboratively move an object to a goal pose. In the absence of explicit communication, this problem is challenging because it demands tight implicit coordination between two heterogeneous agents, who have very different sensing, actuation, and reasoning capabilities. Our...
Entanglement is fundamental to quantum information science and technology, yet controlling and manipulating entanglement—so-called entanglement engineering—for arbitrary quantum systems remains a formidable challenge. There are two difficulties: the fragility of quantum entanglement and its experimental characterization. We develop a model-free dee...
This paper presents a novel approach to utilizing underactuated quadrotor Unmanned Aerial Vehicles (UAVs) as assistive devices in cooperative payload transportation task through human guidance and physical interaction. The proposed system consists of two underactuated UAVs rigidly connected to the transported payload. This task involves the collabo...
The Gough-Stewart Platform, often referred to simply as the Stewart Platform, is a parallel mechanical system with six degrees of freedom, which is widely employed in simulation and precise applications. This study gives a thorough Lagrangian-based model of the Stewart Platform, emphasizing its dynamic behavior and control mechanisms. A novel distr...
Robotic grasping and manipulation mainly rely on vision and tactile sensing. While tactile sensors are frequently proposed for grasp control in the literature, object localization and recognition are achieved solely through vision. Vision-based approaches perform satisfactorily in clear and structured surroundings by providing reliable sensory inpu...
Anti-lock braking systems (ABS) enhance vehicle safety by preventing wheel lock-up, but their effectiveness depends on tire-road friction. Traditional braking systems struggle to maintain effective performance due to the risk of wheel lock-up on varying road surfaces, affecting vehicle stability and control. This study presents a novel method to im...
During the roll control process of an aircraft, shimmy often occurs, usually manifested as high-frequency and low amplitude vibrations. In order to better analyze the essential causes of landing gear shimmy, this paper establishes a flexible shimmy dynamics model for the nose landing gear and analyzes the influence of the hydraulic stiffness of the...
The research of multi-robot systems (MRSs) has become increasingly important and large in the field of mobile robotics in recent years. • In multiple mobile robot systems (MMRSs), robots must work together to move around in the environment and finish tasks. This research focuses on MMRSs. • This paper presents an integrated overview and evaluation...
This chapter explores key components of transcriptional regulation in plant-pathogen interactions, focusing on transcription factors, co-regulators, and epigenetic modifications. We also examine how pathogens manipulate host systems, offering insights that pave the way for developing disease-resistant crops through genetic engineering and advanced...
Unitarity serves as a fundamental concept for characterizing linear and conservative wave phenomena in both classical and quantum systems. Developing platforms that perform unitary operations on light waves in a universal and programmable manner enables the emulation of complex light–matter interactions and the execution of general-purpose function...
Anomalous electron transport in Hall thrusters is traditionally viewed as detrimental to thruster performance due to the power consumption associated with electron back-flow. The electron back-flow can significantly increase when the magnetic barrier near the acceleration region is deteriorated. However, enhanced cross-field transport in the near-a...
We present an experimental investigation aimed at tracking and controlling the dissociative ionization of formic acid molecules using intense femtosecond laser pulses. The resulting ionic products, formyl and hydroxyl radicals, are measured in coincidence. By analyzing the kinetic energy release spectra of these ionic radicals as a function of the...
An efficient 11‐step synthesis of (±)‐dechlorotrichotoxin A, a dechlorinated analog of the cytotoxic marine natural product trichotoxin A, has been developed. The synthesis, featuring key steps such as cross‐metathesis, Grignard reaction, and Tebbe olefination, encountered significant challenges. These arose from the volatility and instability of i...
Quantum computing represents a revolutionary shift in information processing, leveraging the principles of superposition, entanglement, and quantum interference to perform computations that classical computers cannot efficiently handle. However, quantum mechanics is highly counterintuitive, making it difficult for students and researchers to build...
While consumers experience shopping convenience through personalized recommendations, they are increasingly concerned about their consumption behavior being manipulated, leading to psychological resistance towards personalized recommendations. As such, research on how personalized recommendation services influence consumers’ perceptions of self-det...
Aerial manipulation for safe physical interaction with their environments is gaining significant momentum in robotics research. In this paper, we present a disturbance-observer-based safety-critical control for a fully actuated aerial manipulator interacting with both static and dynamic structures. Our approach centers on a safety filter that dynam...
We tested whether merely witnessing gendered microaggressions affects group work experiences among male and female undergraduate computer science and engineering students. Across three experiments (N = 753), we randomly assigned computer science and engineering students to witness microaggressions targeting female students, or control interactions,...
Facial attractiveness influences important social outcomes and most studies investigating possible predictors of facial attractiveness have tested for effects of shape symmetry, averageness (i.e., the converse of distinctiveness), and sexual dimorphism (i.e., masculinity–femininity). These studies have typically either tested for these possible eff...
Redundant manipulators (RMs) are widely used in various fields due to their flexibility and versatility, but challenges remain in adjusting their inverse kinematics (IK) solutions. Adjustable IK solutions are crucial as they not only avoid joint limits but also enable the manipulability of the manipulator to be regulated. To address this issue, thi...
Self-supervised learning (SSL) allows training data representations without a supervised signal and has become an important paradigm in machine learning. Most SSL methods employ the cosine similarity between embedding vectors and hence effectively embed data on a hypersphere. While this seemingly implies that embedding norms cannot play any role in...
People's needs for status and support are theoretically distinct, yet little research has considered how people cope with having one but not the other. We examine how people react to status loss as a function of whether they typically perceive their coworkers as supportive. Although social support is documented as a resource people can draw on to c...
Artificial intelligence conducts rapid changes to social engineering operations as it creates new security challenges while also providing protection possibilities. Deepfake tools ranking as the biggest threat merge artificial intelligence-based tools which produce ultra-realistic artificial content that artificially duplicates human characteristic...
Anapole resonances with high‐quality factor (Q‐factor) can provide strong local electromagnetic fields for dielectric metasurfaces, combined with unique non‐radiation which can play an important role in sensing, nonlinear optics, and other fields. Perfect anapole mode excitation is still a challenge in the near‐infrared band. In this work, a method...
Organic light-emitting diodes (OLEDs) based on phosphorescent materials are among the most promising technologies for displays and lightings. For red-emitting heteroleptic iridium complexes (HICs), vast and major research has been focused on the design and synthesis of cyclometalated ligands, while relatively little attention has been given to anci...
This research study employs a quasi-experimental research design. The primary objective is to compare the effectiveness of hands-on and virtual manipulatives in enhancing the comprehension of the concept of algebraic expressions among Basic Seven (7) students at Bagabaga Demonstration Junior High School in Sagnarigu Municipality located in Tamale,...
Spoken language understanding requires the integration of incoming speech with representations of the preceding context. How rich the information is that listeners maintain in these contextual representations has been a long-standing question. Under one view, subcategorical information about the preceding input—including any uncertainty about the u...
Goal-directed behavior requires adjusting cognitive control to both react to and prepare for conflict. Previous work indicates theta oscillations and population activity in dorsomedial prefrontal cortex (dmPFC) and dorsolateral prefrontal cortex (dlPFC) are critical for reactive control. However, the neural mechanisms supporting proactive control a...
A fundamental problem in quantum information is to understand the operational significance of quantum resources. Quantum resource theories (QRTs) provide a powerful theoretical framework that aids in analyzing and comprehending the operational meaning of these resources. Early resource theories primarily focused on analyzing static quantum resource...
Attention is strongly biased toward the location where a previous target was recently found. This priming-of-location (PoL) effect is taken to indicate that selecting an object automatically and proactively enhances the attentional priority at its location. This account predicts that PoL should be unaffected by changes in task context. Here, we tes...
Manipulating downward-closed sets of vectors forms the basis of so-called antichain-based algorithms in verification. In that context, the dimension of the vectors is intimately tied to the size of the input structure to be verified. In this work, we formally analyze the complexity of classical list-based algorithms to manipulate antichains as well...
Leveraging machine learning algorithms (ML) for AC optimal power flow (ACOPF) is an inevitable tendency in power system analysis and operation. A wide range of ML models' applications such as deep neural networks and convolutional neural networks are utilized to tackle the ACOPF more efficiently. For large-scale power systems, the disadvantages of...
The applications of robotics in urology has been rapidly expanding since the introduction of the Da Vinci robotic platform in 2000. In recent years, there have been further developments in the robotic surgery space including advancements in Da Vinci’s own robotic platform, the introduction of a single-port (SP®) system, as well as new competitors a...
Chain-of-Thought significantly enhances a model's reasoning capability, but it also comes with a considerable increase in inference costs due to long chains. With the observation that the reasoning path can be easily compressed under easy tasks but struggle on hard tasks, we explore the feasibility of elastically controlling the length of reasoning...
Optical encryption offers a powerful platform for secure information transfer, combining low power consumption, high-speed transmission, and intuitive visualization. Metasurfaces, with their unprecedented ability to manipulate light across multiple degrees of freedom within quasi-two-dimensional nanostructures, are emerging as promising devices for...
This paper presents a novel approach to real-time safety monitoring in human-robot collaborative manufacturing environments through a wrist-mounted Inertial Measurement Unit (IMU) system integrated with a Predictive Safety Model (PSM). The proposed system extends previous PSM implementations through the adaptation of a spring-damper-mass model spec...
The optical manipulation of magnetism enabled by rare earth‐transition metal ferrimagnets holds the promise of ultrafast, energy‐efficient spintronic technologies. This work investigates laser‐induced picosecond spin currents generated by ferrimagnetic GdCo via terahertz emission spectroscopy. A suppression of the THz emission and spin current is o...
This paper investigates the detection of potential image tampering based on the analysis of uniform and near-uniform images. While a completely black, white, or uniformly colored image provides minimal visual information, its presence can, in certain contexts, indicate deliberate concealment or manipulation. We propose several statistical measures...
Recent advances in skill learning has propelled robot manipulation to new heights by enabling it to learn complex manipulation tasks from a practical number of demonstrations. However, these skills are often limited to the particular action, object, and environment \textit{instances} that are shown in the training data, and have trouble transferrin...
In a multivalley electronic band structure, lifting of the valley degeneracy is associated with rotational symmetry breaking in the electronic fluid and may emerge through spontaneous symmetry breaking order or through a large response to a small external perturbation such as strain. In this work, we use scanning tunneling microscopy to investigate...
While much research has investigated decision confidence, its neural underpinnings remain unclear. Although several studies have shown that centro-parietal EEG signals correlate with the reported level of confidence, according to recent computational work these signals reflect evidence which feeds into the computation of confidence, but they do not...
The rise of AI-generated pornography has introduced new dynamics in human sexuality. This manuscript explores the potential impact of AI-generated adult content on homosexuality. AI can create hyper-personalized content, catering to niche preferences and potentially influencing individual sexual orientations or behaviors. One potential effect of th...
The integration of robotics and augmented reality (AR) presents transformative opportunities for advancing human-robot interaction (HRI) by improving usability, intuitiveness, and accessibility. This work introduces a controller-free, LLM-driven voice-commanded AR puppeteering system, enabling users to teleoperate a robot by manipulating its virtua...
Graph Neural Networks (GNNs) have demonstrated remarkable proficiency in modeling data with graph structures, yet recent research reveals their susceptibility to adversarial attacks. Traditional attack methodologies, which rely on manipulating the original graph or adding links to artificially created nodes, often prove impractical in real-world se...
The article provides a comprehensive review of continuum robotics. In today's rapidly advancing world, the development of versatile robotic structures, such as continuum robots, is increasingly important. Unlike traditional rigid-link manipulators, which are widely utilized across various industries, continuum robots are relatively less developed....
A new type of multiferroicity was experimentally discovered in 2003 in a perovskite manganite TbMnO$_3$ where its ferroelectricity is induced by cycloidally ordered Mn spins. Susequently, such spin-cycloid multiferroic phase was also discovered in $R$MnO$_3$ with other rare-earth ions $R$=Dy, Eu$_{1-x}$Y$_x$, Tb$_{1-x}$Gd$_x$, etc. In this class of...
We investigate the anisotropic coupled-top model, which describes the interactions between two large spins along both $x-$ and $y-$directions. By tuning anisotropic coupling strengths along distinct directions, we can manipulate the system's symmetry, inducing either discrete $Z_2$ or continuous U(1) symmetry. In the thermodynamic limit, the mean-f...
Particular features of the stimuli that predict significant outcomes tend to capture our attention in a rather automatic and inflexible way. This form of attention has been described as a Pavlovian bias that mimics the phenomenon of sign-tracking described in animals, where reward-predictive cues become motivational magnets. In humans, Value-Modula...
People learn and retrieve cognitive control settings (e.g., attentional focus) associated with stimulus and contextual features. It has been theorized that control adjustments occur at the item level (e.g., for a specific picture) and the category level (i.e., for the overarching category represented by the picture), but evidence is lacking for the...
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Most research on visual working memory (WM) focuses on 2D objects and spatial locations; however, the storage mechanism of depth information—another important dimension in a 3D environment—remains largely unknown. The present study conducted seven experiments to systematically investigate how absolute depth (metric distance) and relative depth (ord...
Controlling microstructure in fusion-based metal additive manufacturing (AM) remains a significant challenge due to the many parameters that directly impact solidification condition. Multiprincipal element alloys (MPEAs), also known as high entropy alloys, offer a vast compositional space to design for microstructural engineering due to their chemi...
This article explores the often-overlooked distinction between doing physics, which involves advanced mathematical manipulation and experimental design, and teaching physics, which requires communicating complex concepts in accessible terms. Current pedagogical approaches frequently focus on producing mini-scientists capable of performing basic exp...
Carbonylative transformation is already been accepted as a powerful toolbox in synthetic chemistry. However, the manipulation of toxic and smell‐less carbon monoxide gas lagged it from wide range applications. Hence the developing of new and efficient CO surrogates become an attractive topic. Herein, we developed a novel mannitol‐based carbon monox...
Introduction
This research identifies and explores two distinct modes of self-experience and their influence on psychological openness. We distinguish between the unitary self-mode, where individuals perceive themselves as cohesive, stable entities, and the multiple self-mode, where they recognize their diverse, context-dependent aspects. These mod...
Generalizing policies to unseen scenarios remains a critical challenge in visual reinforcement learning, where agents often overfit to the specific visual observations of the training environment. In unseen environments, distracting pixels may lead agents to extract representations containing task-irrelevant information. As a result, agents may dev...
Weak values are found to play an important role in the study of many fundamental concepts of quantum mechanics. We present a method to simultaneously extract the imaginary part of the weak value of both path operators in a two-path Mach–Zehnder neutron interferometer using time-dependent phases. The measurement does not require spin manipulation, e...
We propose a robot-assisted method to generate spherical thermal lesions by high-intensity focused ultrasound (HIFU) ablation. Typically, HIFU-induced thermal lesions are cigar-shaped because the acoustic field in the focal area has a similar elongated shape. We assumed that HIFU irradiation with a certain range and pattern of motion could influenc...
Recent advancements in neural audio codecs have enabled the use of tokenized audio representations in various audio generation tasks, such as text-to-speech, text-to-audio, and text-to-music generation. Leveraging this approach, we propose TokenSynth, a novel neural synthesizer that utilizes a decoder-only transformer to generate desired audio toke...
Achieving precise performance in aerospace robotics, particularly when handling unknown payloads in uncertain environments, remains a significant challenge. Traditional model-based control methods are often impractical due to the dynamic nature of aerospace operations. Adaptive control has emerged as a viable alternative, offering the ability to co...
Extensive research suggests that humans integrate sensory information and prior expectations in a Bayesian manner to reduce uncertainty in perception and action. However, while Bayesian integration provides a powerful explanatory framework, the question remains as to what extent it explains human behaviour in naturalistic situations, including more...
Organizations face severe cyber risks, which may lead companies to contract related insurance or to demand cybersecurity assurance services to signal risk management. This paper experimentally investigates how cybersecurity assurance and insurance against cyber risks impact nonprofessional investors. We conducted an experiment with a 2 Â 2 between-...
Despite the conspicuous merits of Zn metal anodes, the commercialization of Zn anode‐based electrochemical energy storage devices is still constrained by uncontrollable dendrite growth and serious parasitic reactions. Herein, an innovative strategy of employing kosmotropic anions‐intensified proline additive to regulate the Zn²⁺ solvation structure...
We contribute to the literature on moral disengagement and task socialization by demonstrating how working with a tolerance standard (i.e., a margin for error) socializes workers to view small errors as inconsequential. This creates a “tolerance mindset” that spills over and facilitates moral disengagement when making ethical decisions. We provide...