Materials Today Physics, Journal Year: 2024, Volume and Issue: 49, P. 101588 - 101588
Published: Nov. 17, 2024
Language: Английский
Materials Today Physics, Journal Year: 2024, Volume and Issue: 49, P. 101588 - 101588
Published: Nov. 17, 2024
Language: Английский
Advanced Science, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 9, 2024
Abstract Humans recognize and manipulate objects relying on the multidimensional force features captured by tactile sense of skin during manipulation. Since current sensors integrated in robots cannot support to multiple interaction states between manipulator objects, achieving human‐like perception analytical capabilities remains a major challenge for service robots. Prompted involved performing complex tasks, multimodal sensory system is presented provide situ simultaneous sensing when approaching, touching, manipulating objects. The comprises capacitive sensor owning high sensitivity 1.11E‐2 pF mm −1 , triboelectricity nanogenerator with fast response speed 30 ms, pressure array capable 3D detection. By Combining transfer learning models, which fuses information achieve high‐precision (up 95%) recognition multi‐featured targets such as random hardness texture under sampling conditions, including grasp velocity. This expected enhance intelligent behavior‐planning autonomous tasks undefined surrounding environments.
Language: Английский
Citations
3Materials Today Physics, Journal Year: 2025, Volume and Issue: 55, P. 101750 - 101750
Published: May 20, 2025
Language: Английский
Citations
0RSC Advances, Journal Year: 2024, Volume and Issue: 14(35), P. 25359 - 25368
Published: Jan. 1, 2024
This study explored the preparation of a novel composite hydrogel based on deep eutectic solvent (DES) with lysine (Lys) and its application in pressure sensing Fe 3+ adsorption.
Language: Английский
Citations
2Journal of the Mechanics and Physics of Solids, Journal Year: 2024, Volume and Issue: 194, P. 105951 - 105951
Published: Nov. 12, 2024
Language: Английский
Citations
2Published: Jan. 1, 2024
Language: Английский
Citations
0Advanced Intelligent Systems, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 8, 2024
Flexible tactile sensors have the ability to provide unparalleled levels of sensation, including information regarding roughness, contact force, and location. However, it remains a challenge achieve precise location sensing that is decoupled from sensor strain touching forces. This paper proposes novel data‐driven approach for force (FCLS) with influence forces based on scatter signals (SS) ultrasonic waveguide. First, envelope signal (FCSS) extracted via Hilbert transform, which retrieves global features SS. The time‐frequency spectrogram obtained continuous wavelet extracts local Second, deep convolutional neural network (CNN) utilized extract these separately concentrate them together. Third, outputs CNN, multilayer perception regression model applied acquire experimental results indicate accuracy proposed FCLS method has mean absolute error 0.627 mm relative 3.19%. research provides foundation further multimodal using waveguides its application in robotic sensing.
Language: Английский
Citations
0Materials Today Physics, Journal Year: 2024, Volume and Issue: unknown, P. 101576 - 101576
Published: Oct. 1, 2024
Language: Английский
Citations
0Materials Today Physics, Journal Year: 2024, Volume and Issue: 49, P. 101588 - 101588
Published: Nov. 17, 2024
Language: Английский
Citations
0