SoFiE: Soft Finger Exoskeleton for Intelligent Grasping
- URL: http://arxiv.org/abs/2606.00397v1
- Date: Fri, 29 May 2026 22:31:35 GMT
- Title: SoFiE: Soft Finger Exoskeleton for Intelligent Grasping
- Abstract summary: SoFiE is a modular soft finger exoskeleton designed to assist index-finger flexion during grasping tasks.<n>Actuation is achieved through a tendon-driven mechanism powered by a compact DC motor.<n>A novel tactile sensing approach, MagSense, is introduced, using a magnet and magnetometer pair embedded in a soft fingertip structure.
- Score: 0.6299766708197881
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: Soft wearable robotic systems have emerged as a promising solution for assisting individuals with reduced hand function. This paper presents SoFiE, a modular soft finger exoskeleton designed to assist index-finger flexion during grasping tasks. The proposed system is primarily fabricated using 3D-printed flexible materials, enabling a lightweight, low-profile, and modular design. Actuation is achieved through a tendon-driven mechanism powered by a compact DC motor, while passive extension is provided by a compliant conductive spring. This element, termed StretchSense, also functions as a proprioceptive sensor by exhibiting resistance changes under deformation. Furthermore, a novel tactile sensing approach, MagSense, is introduced, using a magnet and magnetometer pair embedded in a soft fingertip structure to estimate contact force and object compliance. The system is fully untethered and controlled by an embedded microcontroller. In addition, actuator-level sensing through motor encoder feedback enables estimation of the system state, providing a foundation for safe and adaptive control strategies. Experimental validation demonstrates the capability of the system to provide reliable pose estimation, distinguish between materials with different stiffness, and generate distinct sensor signatures across different grasping tasks. This paper details the design, fabrication, and sensing concepts of the proposed exoskeleton as a proof of concept toward modular, soft, and assistive wearable robotics.
Related papers
- Tendon-Driven Continuum Robot with Modular Stiffness and In-Situ Self Pose Estimation [11.597035276368608]
This paper presents a self-contained modular continuum robotic platform that combines mechanical reconfigurability with onboard pose estimation.<n>Proprioceptive sensing is achieved using magnetic sensors and a modular learning-based framework.<n>The system is experimentally validated in real world, demonstrating self-sensing capabilities and adaptation without external tracking.
arXiv Detail & Related papers (2026-09-14T19:21:09Z) - One Print, Many Moves: Monolithic Origami-inspired Folding Actuator for Composable Soft Multi-DoF Systems [5.952185594637419]
We introduce a MONOlithic ORIGAMI-inspired soft folding actuator design (MONORIGAMI)<n>The design is fully 3D-printable through a single-material, single-print process that requires no assembly.<n>We demonstrate three 3D-printed soft multi-DoF robotic systems spanning distinct application domains.
arXiv Detail & Related papers (2026-09-01T05:31:22Z) - AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion [60.79507611737292]
Humans achieve stable and adaptive grasps by seamlessly integrating visual perception and tactile feedback.<n>Existing robotic grasping approaches rely on visual inputs and lack mechanisms for tactile-guided adaptation after contact.<n>We propose a unified visuo-tactile-fusion grasping framework that integrates grasp generation, feasibility prediction, and adaptive refinement.
arXiv Detail & Related papers (2026-08-06T16:29:11Z) - AetheRock: An Arm-Worn Robot Teaching System for Force-Guided Vision-Tactile Learning [56.20593626288444]
AetheRock is an arm-worn device featuring a modular and easily manufactured visuo-tactile sensor, GelSlim-MiniFab, at the fingertip.<n>We propose ForceVT, a representation learning framework that uses force and vision to guide fidelity-agnostic tactile learning.
arXiv Detail & Related papers (2026-06-08T17:38:57Z) - Printed helicoids with embedded air channels make sensorized segments for soft continuum robots [40.89188977843952]
We introduce a fabrication method for embedding air channels into helicoid-based soft continuum robots.<n>We characterize the mechanical properties of four helicoid designs and validate the sensor response to fundamental deformation modes.<n>This approach establishes a scalable fabrication strategy for sensorized architected materials in large-scale soft robotic systems.
arXiv Detail & Related papers (2026-02-26T19:21:29Z) - Surface-based Manipulation Using Tunable Compliant Porous-Elastic Soft Sensing [3.109563406209924]
This work introduces the COmpliant Porous-Elastic Soft Sensing (COPESS) integrated with inductive sensors for adaptive object manipulation and localised sensing.<n>The design features a tunable lattice layer that simultaneously modulates mechanical compliance and sensing performance.
arXiv Detail & Related papers (2026-02-24T15:51:10Z) - UniForce: A Unified Latent Force Model for Robot Manipulation with Diverse Tactile Sensors [51.88112610411651]
We propose a novel unified tactile representation learning framework that learns a shared latent force space across diverse tactile sensors.<n>UniForce reduces cross-sensor domain shift by jointly modeling inverse dynamics (image-to-force) and forward dynamics (force-to-image)<n>To avoid reliance on expensive external force/torque (F/T) sensors, we exploit static equilibrium and collect force-paired data via direct sensor--object--sensor interactions.
arXiv Detail & Related papers (2026-02-01T11:03:01Z) - Fluidically Innervated Lattices Make Versatile and Durable Tactile Sensors [43.33741954317892]
We introduce a passive soft robotic fingertip with integrated tactile sensing, fabricated using a 3D-printed elastomer lattice with embedded air channels.<n>This sensorization approach, termed fluidic innervation, transforms the lattice into a tactile sensor by detecting pressure changes within sealed air channels.
arXiv Detail & Related papers (2025-07-28T18:00:04Z) - 1 Modular Parallel Manipulator for Long-Term Soft Robotic Data Collection [16.103025868841268]
We propose a modular parallel robotic manipulation platform suitable for large-scale data collection.
The platform's modules consist of a pair of off-the-shelf electrical motors which actuate a customizable finger.
We validate the platform's ability to be used for policy gradient reinforcement learning directly on hardware in a benchmark 2D manipulation task.
arXiv Detail & Related papers (2024-09-05T15:18:44Z) - Reconfigurable Data Glove for Reconstructing Physical and Virtual Grasps [100.72245315180433]
We present a reconfigurable data glove design to capture different modes of human hand-object interactions.
The glove operates in three modes for various downstream tasks with distinct features.
We evaluate the system's three modes by (i) recording hand gestures and associated forces, (ii) improving manipulation fluency in VR, and (iii) producing realistic simulation effects of various tool uses.
arXiv Detail & Related papers (2023-01-14T05:35:50Z) - Elastic Tactile Simulation Towards Tactile-Visual Perception [58.44106915440858]
We propose Elastic Interaction of Particles (EIP) for tactile simulation.
EIP models the tactile sensor as a group of coordinated particles, and the elastic property is applied to regulate the deformation of particles during contact.
We further propose a tactile-visual perception network that enables information fusion between tactile data and visual images.
arXiv Detail & Related papers (2021-08-11T03:49:59Z)
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.