mlsanityData to 14 Oct 2026

eFlesh: Highly customizable Magnetic Touch Sensing using Cut-Cell Microstructures

arXiv 2506.09994 ↗First posted 11 Jun 2025cs.RO cs.AIcited by 5

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Abstract (arXiv)

If human experience is any guide, operating effectively in unstructured environments -- like homes and offices -- requires robots to sense the forces during physical interaction. Yet, the lack of a versatile, accessible, and easily customizable tactile sensor has led to fragmented, sensor-specific solutions in robotic manipulation -- and in many cases, to force-unaware, sensorless approaches. With eFlesh, we bridge this gap by introducing a magnetic tactile sensor that is low-cost, easy to fabricate, and highly customizable. Building an eFlesh sensor requires only four components: a hobbyist 3D printer, off-the-shelf magnets (<5), a CAD model of the desired shape, and a magnetometer circuit board. The sensor is constructed from tiled, parameterized microstructures, which allow for tuning the sensor's geometry and its mechanical response. We provide an open-source design tool that converts convex OBJ/STL files into 3D-printable STLs for fabrication. This modular design framework enables users to create application-specific sensors, and to adjust sensitivity depending on the task. Our sensor characterization experiments demonstrate the capabilities of eFlesh: contact localization RMSE of 0.5 mm, and force prediction RMSE of 0.27 N for normal force and 0.12 N for shear force. We also present a learned slip detection model that generalizes to unseen objects with 95% accuracy, and visuotactile control policies that improve manipulation performance by 40% over vision-only baselines -- achieving 91% average success rate for four precise tasks that require sub-mm accuracy for successful completion. All design files, code and the CAD-to-eFlesh STL conversion tool are open-sourced and available on https://e-flesh.com.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 36 of its 69 references that are in the map. First posted on arXiv 11 Jun 2025.

Builds on

36 of 69 references.

References · 36

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2023Diffusion Policy: Visuomotor Policy Learning via Action Diffusioncited by 2,838
  3. 2023Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardwarecited by 1,568
  4. 2024DROID: A Large-Scale In-The-Wild Robot Manipulation Datasetcited by 852
  5. 2024Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robotscited by 394
  6. 2023RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunkingcited by 169
  7. 2020DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulationcited by 167
  8. 2024Data Scaling Laws in Imitation Learning for Robotic Manipulationcited by 145
  9. 2018More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touchcited by 102
  10. 2023On Bringing Robots Homecited by 101
  11. 2023Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulationcited by 82
  12. 2024BAKU: An Efficient Transformer for Multi-Task Policy Learningcited by 80
24 more
  1. 20243D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensingcited by 72
  2. 2024OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulationcited by 71
  3. 2023Robot Synesthesia: In-Hand Manipulation with Visuotactile Sensingcited by 56
  4. 2021Coupling Vision and Proprioception for Navigation of Legged Robotscited by 51
  5. 2024Transferable Tactile Transformers for Representation Learning Across Diverse Sensors and Taskscited by 45
  6. 2024Robot Utility Models: General Policies for Zero-Shot Deployment in New Environmentscited by 44
  7. 2021GelSlim3.0: High-Resolution Measurement of Shape, Force and Slip in a Compact Tactile-Sensing Fingercited by 41
  8. 2021ReSkin: versatile, replaceable, lasting tactile skinscited by 35
  9. 2021GelSight Wedge: Measuring High-Resolution 3D Contact Geometry with a Compact Robot Fingercited by 34
  10. 2018Slip Detection with Combined Tactile and Visual Informationcited by 23
  11. 2024AnySkin: Plug-and-play Skin Sensing for Robotic Touchcited by 23
  12. 2019Learning to Identify Object Instances by Touch: Tactile Recognition via Multimodal Matchingcited by 16
  13. 2024Hierarchical State Space Models for Continuous Sequence-to-Sequence Modelingcited by 15
  14. 2024Learning In-Hand Translation Using Tactile Skin With Shear and Normal Force Sensingcited by 15
  15. 2024Learning Precise, Contact-Rich Manipulation through Uncalibrated Tactile Skinscited by 12
  16. 2017Two-Scale Topology Optimization with Microstructurescited by 10
  17. 2022All the Feels: A dexterous hand with large-area tactile sensingcited by 8
  18. 2024CushSense: Soft, Stretchable, and Comfortable Tactile-Sensing Skin for Physical Human-Robot Interactioncited by 8
  19. 2019Learning efficient haptic shape exploration with a rigid tactile sensor arraycited by 6
  20. 2018Deformation Capture via Soft and Stretchable Sensor Arrayscited by 5
  21. 2024Sensorized Soft Skin for Dexterous Robotic Handscited by 4
  22. 2023GelSight EndoFlex: A Soft Endoskeleton Hand with Continuous High-Resolution Tactile Sensingcited by 3
  23. 2021A Low-Cost, Easy-to-Manufacture, Flexible, Multi-Taxel Tactile Sensor and its Application to In-Hand Object Recognitioncited by 1
  24. 2023Cut-Cell Microstructures for Two-scale Structural Optimizationcited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 4.

5 papers.