Abstract
Human skin can sense subtle changes of both normal and shear forces (i.e., self-decoupled) and perceive stimuli with finer resolution than the average spacing between mechanoreceptors (i.e., super-resolved). By contrast, existing tactile sensors for robotic applications are inferior, lacking accurate force decoupling and proper spatial resolution at the same time. Here, we present a soft tactile sensor with self-decoupling and super-resolution abilities by designing a sinusoidally magnetized flexible film (with the thickness ~0.5 millimeters), whose deformation can be detected by a Hall sensor according to the change of magnetic flux densities under external forces. The sensor can accurately measure the normal force and the shear force (demonstrated in one dimension) with a single unit and achieve a 60-fold super-resolved accuracy enhanced by deep learning. By mounting our sensor at the fingertip of a robotic gripper, we show that robots can accomplish challenging tasks such as stably grasping fragile objects under external disturbance and threading a needle via teleoperation. This research provides new insight into tactile sensor design and could be beneficial to various applications in robotics field, such as adaptive grasping, dexterous manipulation, and human-robot interaction.
| Original language | English |
|---|---|
| Article number | eabc8801 |
| Journal | Science Robotics |
| Volume | 6 |
| Issue number | 51 |
| DOIs | |
| Publication status | Published - 17 Feb 2021 |
Research Keywords
- tactile sensing
- force decoupling
- tactile super-resolution
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Dive into the research topics of 'Soft magnetic skin for super-resolution tactile sensing with force self-decoupling'. Together they form a unique fingerprint.Projects
- 2 Finished
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GRF: Microrobotic System for High-Precise Micro Helical Structure Fabrication
SHEN, Y. (Principal Investigator / Project Coordinator)
1/01/21 → 1/09/22
Project: Research
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GRF: Fully-decentralized and Near-optimal Large-scale Multi-robot Collision Avoidance via Deep Learning
PAN, J. (Principal Investigator / Project Coordinator)
1/01/19 → 2/01/19
Project: Research
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