mlsanityData to 7 Oct 2026

A soft thumb-sized vision-based sensor with accurate all-round force perception

arXiv 2111.05934 ↗First posted 10 Nov 2021cs.RO cs.CV cs.LGcited by 9

Not on the map. Why?

Abstract (arXiv)

Vision-based haptic sensors have emerged as a promising approach to robotic touch due to affordable high-resolution cameras and successful computer-vision techniques. However, their physical design and the information they provide do not yet meet the requirements of real applications. We present a robust, soft, low-cost, vision-based, thumb-sized 3D haptic sensor named Insight: it continually provides a directional force-distribution map over its entire conical sensing surface. Constructed around an internal monocular camera, the sensor has only a single layer of elastomer over-molded on a stiff frame to guarantee sensitivity, robustness, and soft contact. Furthermore, Insight is the first system to combine photometric stereo and structured light using a collimator to detect the 3D deformation of its easily replaceable flexible outer shell. The force information is inferred by a deep neural network that maps images to the spatial distribution of 3D contact force (normal and shear). Insight has an overall spatial resolution of 0.4 mm, force magnitude accuracy around 0.03 N, and force direction accuracy around 5 degrees over a range of 0.03--2 N for numerous distinct contacts with varying contact area. The presented hardware and software design concepts can be transferred to a wide variety of robot parts.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 17 of its 62 references that are in the map. First posted on arXiv 10 Nov 2021.

Builds on

17 of 62 references.

References · 17

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2018Learning Dexterous In-Hand Manipulationcited by 643
  3. 2019Deep Dynamics Models for Learning Dexterous Manipulationcited by 200
  4. 2020DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulationcited by 164
  5. 2018GelSlim: A High-Resolution, Compact, Robust, and Calibrated Tactile-sensing Fingercited by 50
  6. 2020TriFinger: An Open-Source Robot for Learning Dexteritycited by 31
  7. 2017Improved GelSight Tactile Sensor for Measuring Geometry and Slipcited by 27
  8. 2020OmniTact: A Multi-Directional High Resolution Touch Sensorcited by 27
  9. 2020Event-Driven Visual-Tactile Sensing and Learning for Robotscited by 27
  10. 2018Dense Tactile Force Distribution Estimation using GelSlim and inverse FEMcited by 17
  11. 2020GelTip: A Finger-shaped Optical Tactile Sensor for Robotic Manipulationcited by 13
  12. 2020Soft, Round, High Resolution Tactile Fingertip Sensors for Dexterous Robotic Manipulationcited by 8
5 more
  1. 2020Learning the sense of touch in simulation: a sim-to-real strategy for vision-based tactile sensingcited by 7
  2. 2020A Sensorized Multicurved Robot Finger with Data-driven Touch Sensing via Overlapping Light Signalscited by 7
  3. 2020Interpreting and Predicting Tactile Signals via a Physics-Based and Data-Driven Frameworkcited by 5
  4. 2020Modeling Engagement in Long-Term, In-Home Socially Assistive Robot Interventions for Children with Autism Spectrum Disorderscited by 4
  5. 2020Design of a Fully Actuated Robotic Hand With Multiple Gelsight Tactile Sensorscited by 2

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 3; 2025: 2; 2026: 1.

9 papers.