Original paper
A Deep Learning Method for Vision Based Force Prediction of a Soft Fin Ray Gripper Using Simulation Data
Abstract
Soft robotic grippers are increasingly desired in applications that involve grasping of complex and deformable objects. However, their flexible nature and non-linear dynamics makes the modelling and control difficult. Numerical techniques such as Finite Element Analysis (FEA) present an accurate way of modelling complex deformations. However, FEA approaches are computationally expensive and consequently challenging to employ for real-time...
Paper Details
Title
A Deep Learning Method for Vision Based Force Prediction of a Soft Fin Ray Gripper Using Simulation Data
Published Date
May 25, 2021
Journal
Volume
8
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History