Affiliation:
1. School of Mechanical Engineering, Nantong University, Seyuan Road, No. 9, Nantong 226019, China
2. School of Electrical Engineering, Nantong University, Nantong 226019, China
Abstract
In order to solve the problem of flexible sliding tactile composite sensing in the actual grasp of intelligent robot fingers, this paper proposes a research on a convex fiber grating tactile sliding sensor based on mechanical fingers. Based on the sensing principle of fiber Bragg grating, 3D printing technology was used to encapsulate the FBG sensor array with elastic 50 A resin, a double-layer “hemispherical cuboid” distributed sensing unit was designed, and the FBG slippery tactile sensor was actually pasted on the surface of the mechanical finger for static and dynamic experiments. The experimental results show that the slippery tactile sensor designed in this paper has a good linear relationship with temperature and strain. The temperature sensitivities of the polymer-packaged FBGs are KT1 = 13.04 pm/°C and KT2 = 12.91 pm/°C, and they have a pressure sensitivity of 40.4 pm/N and 31.2 pm/N, respectively. The FBG sliding tactile sensor not only realizes the identification of the sliding signal generation point and the end point but also completes the classification and identification of sandpaper, cardboard, and polypropylene plastic, and it has a high degree of fit with the robot finger, which has certain application value for the intelligent robot sliding tactile signal perception.
Funder
Smart Grid Joint Fund of State Key Program of National Natural Science Foundation of China
major natural science projects of colleges and universities in Jiangsu Province
Reference13 articles.
1. Research progress of fiber Bragg grating tactile sensor;Wang;Transducer Microsyst. Technol.,2018
2. Fiber bragg grating based triaxial force sensor with parallel flexure hinges;Gao;IEEE Trans. Ind. Electron.,2018
3. Research on material recognition function of fiber Bragg grating flexible tactile sensor;Qian;Chin. J. Sci. Instrum.,2022
4. Slip and Roughness Detection of Robotic Fingertip Based on FBG;Feng;Sens. Actuators Phys.,2019
5. Veiga, F., Edin, B., and Peters, J. (2020). Grip stabilization through independent finger tactile feedback control. Sensors, 20.