Soft Pressure Sensor Array Inspired by Human Skin for Detecting 3D Robotic Movement

被引:0
作者
Zhang, Qiang [1 ,2 ,3 ,4 ]
Zhang, Chunyan [2 ]
Song, Haoyu [1 ,3 ,4 ]
Tang, Weitao [2 ]
Zeng, Yanhong [2 ]
机构
[1] Hebei Univ, Sch Qual & Tech Supervis, Baoding 071002, Peoples R China
[2] Taiyuan Univ Technol, Coll Elect Informat & Opt Engn, Taiyuan 030024, Peoples R China
[3] Hebei Univ, Natl & Local Joint Engn Res Ctr Metrol Instrument, Baoding 071002, Peoples R China
[4] Hebei Univ, Hebei Key Lab Energy Metering & Safety, Testing Technol, Baoding 071002, Peoples R China
关键词
bioinspired; nanomaterials; soft tactile sensor; multimodal; three-dimensional;
D O I
10.1021/acsami.4c22665
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
3D soft pressure sensors play an important role in precise robotic operations. Multimodal soft pressure sensors that detect both static and dynamic pressure allow robots to respond accurately and in real time. Here, we present a sensor array with a size of 1.5 cm x 1.5 cm composed of capacitive and piezoelectric units, inspired by Merkel cells and Vater-Pacini corpuscles of human skin. The tangential force from 0.1 to 2 N at angles of 0 degrees, 45 degrees, 180 degrees, and 225 degrees can be resolved by analyzing the signals of the 16 piezoelectric sensors. The 4 capacitive sensors exhibit consistent and stable performance when sensing normal forces from 0.5 to 4 N. The weight and size of objects, as well as the direction of grasping, effectively distinguish the weight, size, and grasping direction of objects when integrated on a robotic gripper. Running and walking movements are recognized when attached to a robot's knee.
引用
收藏
页码:14604 / 14614
页数:11
相关论文
共 30 条
[1]  
Lee G., Son J., Lee S., Kim S.W., Kim D., Nguyen N.N., Lee S.G., Cho K., Fingerpad-inspired multimodal electronic skin for material discrimination and texture recognition, Adv. Sci., 8, 9, (2021)
[2]  
Sundaram S., How to improve robotic touch, Science, 370, 6518, pp. 768-769, (2020)
[3]  
Sundaram S., Kellnhofer P., Li Y., Learning the signatures of the human grasp using a scalable tactile glove, Nature, 569, 7758, pp. 698-702, (2019)
[4]  
Huang Z., Yu S., Xu Y., Cao Z., Zhang J., Guo Z., Wu T., Liao Q., Zheng Y., Chen Z., In-Sensor Tactile Fusion and Logic for Accurate Intention Recognition, Adv. Mater., 36, 35, (2024)
[5]  
Ge C., An X., He X., Duan Z., Chen J., Hu P., Zhao J., Wang Z., Zhang J., Integrated multifunctional electronic skins with low-coupling for complicated and accurate human-robot collaboration, Adv. Sci., 10, (2023)
[6]  
Tao K., Chen Z., Yu J., Zeng H., Wu J., Wu Z., Jia Q., Li P., Fu Y., Chang H., Ultra-sensitive, deformable, and transparent triboelectric tactile sensor based on micro-pyramid patterned ionic hydrogel for interactive human-machine interfaces, Adv. Sci., 9, 10, (2022)
[7]  
Wang X., Wu G., Zhang X., Lv F., Yang Z., Nan X., Zhang Z., Xue C., Cheng H., Gao L., Traditional Chinese Medicine (TCM)-Inspired Fully Printed Soft Pressure Sensor Array with Self-Adaptive Pressurization for Highly Reliable Individualized Long-Term Pulse Diagnostics, Adv. Mater., 37, 1, (2025)
[8]  
Wang S., Fan X., Zhang Z., A skin-inspired high-performance tactile sensor for accurate recognition of object softness, ACS Nano, 18, pp. 17175-17184, (2024)
[9]  
Yang Z., Duan Q., Zang J., Zhao Y., Zheng W., Xiao R., Zhang Z., Hu L., Wu G., Nan X., Boron nitride-enabled printing of a highly sensitive and flexible iontronic pressure sensing system for spatial mapping, Microsyst. Nanoeng., 9, (2023)
[10]  
Wang S., Zhang Z., Yang B., High sensitivity tactile sensors with ultra-broad linear range based on gradient hybrid structure for gesture recognition and precise grasping, Chem. Eng. J., 457, (2023)