Power from Potential: A Survey of Electrostatic Actuators for Haptics

• URL: http://arxiv.org/abs/2607.13058v1
• Date: Mon, 06 Jul 2026 03:38:02 GMT
• Title: Power from Potential: A Survey of Electrostatic Actuators for Haptics
• Abstract summary: High-Voltage Electrostatic Actuators (HVEAs) generate force by applying an electric field to localized charge concentrations using high voltages and ultra-low currents.<n>This paper presents a focused review of HVEAs for haptics, examining four major classes: electrostatic switchable adhesives, dielectric elastomer actuators, soft electrohydraulic actuators, and electrokinetic pumps.<n>We identify common design constraints and emerging strategies for improving ergonomics, streamlining fabrication, and integrating self-sensing.
• Score: 22.260184204444773
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: As haptic interfaces integrate more seamlessly into wearables and everyday environments, they increasingly require actuators that are soft, thin, silent, and energy efficient. However, conventional motors and temperature-responsive polymers often struggle to deliver these properties due to their bulky form factors and high power consumption. High-Voltage Electrostatic Actuators (HVEAs), which generate force by applying an electric field to localized charge concentrations using high voltages and ultra-low currents, have recently emerged as a compelling alternative due to their fast, silent, and low-power operation within highly customizable and compliant form factors. This paper presents a focused review of HVEAs for haptics, examining four major classes: electrostatic switchable adhesives, dielectric elastomer actuators, soft electrohydraulic actuators, and electrokinetic pumps. For each class, we describe their mechanisms that enable haptic output; characterize their bandwidths, force densities, and spatial scalability; and evaluate their versatility for rendering cutaneous and kinesthetic feedback across wearable and world-grounded interfaces. Through this cross-technology analysis, we identify common design constraints and emerging strategies for improving ergonomics, streamlining fabrication, and integrating self-sensing. We conclude by outlining where HVEAs are uniquely positioned to advance haptic interaction and highlighting key research directions needed to translate these technologies into practical systems.

Related papers

• Controlled Dynamics Attractor Transformer [58.15454173718687]
  Transformer architectures have advanced representation learning and inference in deep models through self-attention mechanisms.<n>In parallel,associative memory (AM) frameworks map representations onto energy landscapes, offering interpretable retrieval mechanisms.<n>We propose Controlled Dynamics Attractor Transformer (CCAT), which couples a mixture von Mises-Fisher (Mo-vMF) attention energy with a Hopfield refinement energy.<n>CCAT achieves state-of-the-art performance across multiple benchmarks in graph anomaly detection and graph classification.
  arXiv  Detail & Related papers  (2026-06-13T09:04:22Z)
• Defect engineering of ultrathin gallium nitride via electric fields for advanced electronic, magnetic, and gas sensing applications [17.95705333984168]
  gallium nitride (GaN) is a cornerstone material in wide-band-gap semiconductors.<n>This study explores how point vacancy defects, strain, and external electric fields govern its electronic, magnetic, and sensing landscapes.
  arXiv  Detail & Related papers  (2026-05-26T10:32:57Z)
• A Sensorless, Inherently Compliant Anthropomorphic Musculoskeletal Hand Driven by Electrohydraulic Actuators [7.857892801569228]
  This paper presents the design, control, and evaluation of a novel musculoskeletal robotic hand architecture powered entirely by remote Peano-HASEL actuators.<n>We functionally isolate the grasping interface from electrical hazards while maintaining a slim, human-like profile.<n>The resulting system prioritizes compliant interaction over high payload capacity, leveraging the intrinsic force-limiting characteristics of the actuators.
  arXiv  Detail & Related papers  (2026-03-25T14:40:49Z)
• Thermopneumatic Pixels for Fast, Localized, Low-Voltage Touch Feedback [0.20482269513546456]
  thermopneumatic pixels (TPPs) are tactile actuators designed for rapid fabrication.<n>Each TPP converts low-voltage electrical pulses into transient pressure increases within a sealed cavity.<n> TPPs are constructed from inexpensive, readily available materials using straightforward layer-based assembly.
  arXiv  Detail & Related papers  (2026-03-17T16:28:28Z)
• A Robotic Testing Platform for Pipelined Discovery of Resilient Soft Actuators [63.07587517846448]
  We propose an optimization pipeline enabled by a novel testing robot capable of scanning DEA lifetime.<n>The robot integrates electro-mechanical property measurement, programmable voltage input, and multi-channel testing capacity.<n>Using it, we scanned the lifetime of Elastosil-based linear actuators across parameters including input voltage magnitude, frequency, electrode material concentration, and electrical connection filler.
  arXiv  Detail & Related papers  (2026-02-24T14:41:28Z)
• Exploration of Low-Power Flexible Stress Monitoring Classifiers for Conformal Wearables [3.195176634942016]
  State-of-the-art approaches use rigid, silicon-based wearables, which are not optimized for lightweight, flexible wear.<n>FE offer flexibility and low manufacturing costs, enabling real-time stress monitoring circuits.<n>This work presents the first comprehensive design space exploration of low-power, flexible stress classifiers.
  arXiv  Detail & Related papers  (2025-08-27T08:19:52Z)
• Interaction Field Matching: Overcoming Limitations of Electrostatic Models [85.87349969357068]
  Electrostatic field matching (EFM) has recently appeared as a physics-inspired paradigm for data generation and transfer using the idea of an electric capacitor.<n>We propose Interaction Field Matching (IFM), a generalization of EFM which allows using general interaction fields beyond the electrostatic one.<n>We show the performance on a series of toy and image data transfer problems.
  arXiv  Detail & Related papers  (2025-06-03T14:45:14Z)
• Machine learning interatomic potential can infer electrical response [3.502816712907136]
  Machine learning interatomic potentials (MLIPs) offer an efficient and scalable alternative to quantum mechanical methods.<n>We show that polarization and Born effective charge (BEC) tensors can be directly extracted from long-range MLIPs.<n>This work extends the capability MLIPs to predict electrical response--without training on charges or polarization or BECs--and enables accurate modeling of electric-field-driven processes in diverse systems at scale.
  arXiv  Detail & Related papers  (2025-04-07T15:14:07Z)
• Predicting ionic conductivity in solids from the machine-learned potential energy landscape [68.25662704255433]
  We propose an approach for the quick and reliable screening of ionic conductors through the analysis of a universal interatomic potential.<n>Eight out of the ten highest-ranked materials are confirmed to be superionic at room temperature in first-principles calculations.<n>Our method achieves a speed-up factor of approximately 50 compared to molecular dynamics driven by a machine-learning potential, and is at least 3,000 times faster compared to first-principles molecular dynamics.
  arXiv  Detail & Related papers  (2024-11-11T09:01:36Z)
• A background-free optically levitated charge sensor [50.591267188664666]
  We introduce a new technique to model and eliminate dipole moment interactions limiting the performance of sensors employing levitated objects. As a demonstration, this is applied to the search for unknown charges of a magnitude much below that of an electron. As a by-product of the technique, the electromagnetic properties of the levitated objects can also be measured on an individual basis.
  arXiv  Detail & Related papers  (2021-12-20T08:16:28Z)
• Entanglement generation via power-of-SWAP operations between dynamic electron-spin qubits [62.997667081978825]
  Surface acoustic waves (SAWs) can create moving quantum dots in piezoelectric materials. We show how electron-spin qubits located on dynamic quantum dots can be entangled.
  arXiv  Detail & Related papers  (2020-01-15T19:00:01Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.