A soft thumb-sized vision-based sensor with accurate all-round force perception
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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
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5 more
- 2020Learning the sense of touch in simulation: a sim-to-real strategy for vision-based tactile sensingcited by 7
- 2020A Sensorized Multicurved Robot Finger with Data-driven Touch Sensing via Overlapping Light Signalscited by 7
- 2020Interpreting and Predicting Tactile Signals via a Physics-Based and Data-Driven Frameworkcited by 5
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Built on by
Citing papers per year: 2023: 3; 2024: 3; 2025: 2; 2026: 1.
9 papers.
- 2024Transferable Tactile Transformers for Representation Learning Across Diverse Sensors and Taskscited by 44
- 2024The Essential Role of Causality in Foundation World Models for Embodied AIcited by 32
- 2023GelSight Svelte: A Human Finger-shaped Single-camera Tactile Robot Finger with Large Sensing Coverage and Proprioceptive Sensingcited by 10
- 2023TactoFind: A Tactile Only System for Object Retrievalcited by 5
- 2024Learning Force Distribution Estimation for the GelSight Mini Optical Tactile Sensor Based on Finite Element Analysiscited by 4
- 2026NLiPsCalib: An Efficient Calibration Framework for High-Fidelity 3D Reconstruction of Curved Visuotactile Sensorscited by 2
- 2025Enhance Vision-based Tactile Sensors via Dynamic Illumination and Image Fusioncited by 1
- 2023Proprioceptive Learning with Soft Polyhedral Networkscited by 0
- 2025PROD: Palpative Reconstruction of Deformable Objects through Elastostatic Signed Distance Functionscited by 0
- 2026NLiPsCalib: An Efficient Calibration Framework for High-Fidelity 3D Reconstruction of Curved Visuotactile Sensors10 Mar 2026
- 2025PROD: Palpative Reconstruction of Deformable Objects through Elastostatic Signed Distance Functions18 Aug 2025
- 2025Enhance Vision-based Tactile Sensors via Dynamic Illumination and Image Fusion27 Mar 2025
- 2024Learning Force Distribution Estimation for the GelSight Mini Optical Tactile Sensor Based on Finite Element Analysis8 Oct 2024
- 2024Transferable Tactile Transformers for Representation Learning Across Diverse Sensors and Tasks19 Jun 2024
- 2024The Essential Role of Causality in Foundation World Models for Embodied AI6 Feb 2024
- 2023GelSight Svelte: A Human Finger-shaped Single-camera Tactile Robot Finger with Large Sensing Coverage and Proprioceptive Sensing19 Sep 2023
- 2023Proprioceptive Learning with Soft Polyhedral Networks16 Aug 2023
- 2023TactoFind: A Tactile Only System for Object Retrieval23 Mar 2023