mlsanityData to 7 Oct 2026

Improved GelSight Tactile Sensor for Measuring Geometry and Slip

arXiv 1708.00922 ↗First posted 2 Aug 2017cs.ROcited by 27

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Abstract (arXiv)

A GelSight sensor uses an elastomeric slab covered with a reflective membrane to measure tactile signals. It measures the 3D geometry and contact force information with high spacial resolution, and successfully helped many challenging robot tasks. A previous sensor, based on a semi-specular membrane, produces high resolution but with limited geometry accuracy. In this paper, we describe a new design of GelSight for robot gripper, using a Lambertian membrane and new illumination system, which gives greatly improved geometric accuracy while retaining the compact size. We demonstrate its use in measuring surface normals and reconstructing height maps using photometric stereo. We also use it for the task of slip detection, using a combination of information about relative motions on the membrane surface and the shear distortions. Using a robotic arm and a set of 37 everyday objects with varied properties, we find that the sensor can detect translational and rotational slip in general cases, and can be used to improve the stability of the grasp.

Key facts. Cited by 27 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Aug 2017.

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Citing papers per year: 2021: 3; 2022: 3; 2023: 7; 2024: 4; 2025: 5; 2026: 5.

27 papers.

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  1. 2024Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AIcited by 175
  2. 2023Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysiscited by 99
  3. 2022ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfercited by 73
  4. 2023Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Playcited by 60
  5. 2024Transferable Tactile Transformers for Representation Learning Across Diverse Sensors and Taskscited by 44
  6. 2023The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objectscited by 40
  7. 2021GelSight Wedge: Measuring High-Resolution 3D Contact Geometry with a Compact Robot Fingercited by 34
  8. 2023See to Touch: Learning Tactile Dexterity through Visual Incentivescited by 33
  9. 2026VTAM: Video-Tactile-Action Models for Complex Physical Interaction Beyond VLAscited by 14
  10. 2022DenseTact: Optical Tactile Sensor for Dense Shape Reconstructioncited by 13
  11. 2025PolyTouch: A Robust Multi-Modal Tactile Sensor for Contact-rich Manipulation Using Tactile-Diffusion Policiescited by 13
  12. 2023Evetac: An Event-based Optical Tactile Sensor for Robotic Manipulationcited by 12
15 more
  1. 2026TaF-VLA: Tactile-Force Alignment in Vision-Language-Action Models for Force-aware Manipulationcited by 11
  2. 2021A soft thumb-sized vision-based sensor with accurate all-round force perceptioncited by 9
  3. 2024Towards Comprehensive Multimodal Perception: Introducing the Touch-Language-Vision Datasetcited by 6
  4. 2025Taccel: Scaling Up Vision-based Tactile Robotics via High-performance GPU Simulationcited by 6
  5. 2023Learning to Detect Slip through Tactile Estimation of the Contact Force Field and its Entropycited by 4
  6. 2024Tactile-based Object Retrieval From Granular Mediacited by 4
  7. 2025TouchFormer: A Robust Transformer-based Framework for Multimodal Material Perceptioncited by 4
  8. 2021Monocular Depth Estimation for Soft Visuotactile Sensorscited by 3
  9. 2025GelBelt: A Vision-based Tactile Sensor for Continuous Sensing of Large Surfacescited by 2
  10. 2026Bench2Dex: Benchmarking Visuo-Tactile Bimanual Dexterous Manipulation Across Dexterous Handscited by 2
  11. 2026Tac-DINO: Learning Vision-Tactile Features with Patch Alignmentcited by 1
  12. 2022A Thin Format Vision-Based Tactile Sensor with A Micro Lens Array (MLA)cited by 0
  13. 2023Towards Design and Development of an ArUco Markers-Based Quantitative Surface Tactile Sensorcited by 0
  14. 2025A Modularized Design Approach for GelSight Family of Vision-based Tactile Sensorscited by 0
  15. 2026BiView-Touch: Learning Bimanual Tactile Representations by Cross-Hand Completioncited by 0