A robotic sensory system with high spatiotemporal resolution for texture recognition
Xidian University · Southern University of Science and Technology · +1 more institution
Abstract
Humans can gently slide a finger on the surface of an object and identify it by capturing both static pressure and high-frequency vibrations. Although modern robots integrated with flexible sensors can precisely detect pressure, shear force, and strain, they still perform insufficiently or require multi-sensors to respond to both static and high-frequency physical stimuli during the interaction. Here, we report a real-time artificial sensory system for high-accuracy texture recognition based on a single iontronic slip-sensor, and propose a criterion-spatiotemporal resolution, to corelate the sensing performance with recognition capability. The sensor can respond to both static and dynamic stimuli (0-400 Hz)…
Citation impact
- FWCI
- 20.77
- Percentile
- 100%
- References
- 50
Authors
13- NBNingning BaiCorresponding
Xidian University, Southern University of Science and Technology
- YXYiheng Xue
Southern University of Science and Technology
- SCShuiqing Chen
Southern University of Science and Technology
- LSLin Shi
Southern University of Science and Technology
- JSJunli Shi
Southern University of Science and Technology
Topics & keywords
- Artificial intelligence
- Computer science
- Computer vision
- Sensory system
- Haptic technology
- Tactile sensor
- Robotics
- Robot
- Peace, Justice and strong institutions