Sensorized Soft Skin for Dexterous Robotic Hands
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Abstract (arXiv)
Conventional industrial robots often use two-fingered grippers or suction cups to manipulate objects or interact with the world. Because of their simplified design, they are unable to reproduce the dexterity of human hands when manipulating a wide range of objects. While the control of humanoid hands evolved greatly, hardware platforms still lack capabilities, particularly in tactile sensing and providing soft contact surfaces. In this work, we present a method that equips the skeleton of a tendon-driven humanoid hand with a soft and sensorized tactile skin. Multi-material 3D printing allows us to iteratively approach a cast skin design which preserves the robot's dexterity in terms of range of motion and speed. We demonstrate that a soft skin enables firmer grasps and piezoresistive sensor integration enhances the hand's tactile sensing capabilities.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Apr 2024.
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Citing papers per year: 2024: 1; 2025: 3.
4 papers.
- 2024ManiWAV: Learning Robot Manipulation from In-the-Wild Audio-Visual Datacited by 29
- 2025eFlesh: Highly customizable Magnetic Touch Sensing using Cut-Cell Microstructurescited by 4
- 2025The Role of Touch: Towards Optimal Tactile Sensing Distribution in Anthropomorphic Hands for Dexterous In-Hand Manipulationcited by 0
- 2025TranTac: Leveraging Transient Tactile Signals for Contact-Rich Robotic Manipulationcited by 0
- 2025TranTac: Leveraging Transient Tactile Signals for Contact-Rich Robotic Manipulation20 Sep 2025
- 2025The Role of Touch: Towards Optimal Tactile Sensing Distribution in Anthropomorphic Hands for Dexterous In-Hand Manipulation18 Sep 2025
- 2025eFlesh: Highly customizable Magnetic Touch Sensing using Cut-Cell Microstructures11 Jun 2025
- 2024ManiWAV: Learning Robot Manipulation from In-the-Wild Audio-Visual Data27 Jun 2024