DenseTact-Mini: An Optical Tactile Sensor for Grasping Multi-Scale Objects From Flat Surfaces
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Abstract (arXiv)
Dexterous manipulation, especially of small daily objects, continues to pose complex challenges in robotics. This paper introduces the DenseTact-Mini, an optical tactile sensor with a soft, rounded, smooth gel surface and compact design equipped with a synthetic fingernail. We propose three distinct grasping strategies: tap grasping using adhesion forces such as electrostatic and van der Waals, fingernail grasping leveraging rolling/sliding contact between the object and fingernail, and fingertip grasping with two soft fingertips. Through comprehensive evaluations, the DenseTact-Mini demonstrates a lifting success rate exceeding 90.2% when grasping various objects, spanning items from 1mm basil seeds and small paperclips to items nearly 15mm. This work demonstrates the potential of soft optical tactile sensors for dexterous manipulation and grasping.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 Sep 2023.
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Citing papers per year: 2025: 5.
5 papers.
- 2025DEXOP: A Device for Robotic Transfer of Dexterous Human Manipulationcited by 19
- 2025DexSkin: High-Coverage Conformable Robotic Skin for Learning Contact-Rich Manipulationcited by 4
- 2025From Power to Precision: Learning Fine-grained Dexterity for Multi-fingered Robotic Handscited by 2
- 2025Learning Dual-Arm Coordination for Grasping Large Flat Objectscited by 0
- 2025A Modularized Design Approach for GelSight Family of Vision-based Tactile Sensorscited by 0
- 2025From Power to Precision: Learning Fine-grained Dexterity for Multi-fingered Robotic Hands17 Nov 2025
- 2025DexSkin: High-Coverage Conformable Robotic Skin for Learning Contact-Rich Manipulation23 Sep 2025
- 2025DEXOP: A Device for Robotic Transfer of Dexterous Human Manipulation4 Sep 2025
- 2025A Modularized Design Approach for GelSight Family of Vision-based Tactile Sensors20 Apr 2025
- 2025Learning Dual-Arm Coordination for Grasping Large Flat Objects4 Apr 2025