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Design and analysis of a flexible robotic hand with soft fingers and a changeable palm

Yilin Sun, Qiuju Zhang, Xiaoyan Chen

2020Advanced Robotics24 citationsDOI

Abstract

This study describes the design of a novel flexible robotic hand that can adapt its configurations to different grasping demands. Firstly, a mathematical model, based on the Yeoh strain energy function and virtual work principle, is established to investigate deformation properties of the designed soft finger. To achieve a flexible grasping capability, a changeable palm is presented with its variable configurations in terms of target objects with different sizes and shapes. A kinematic model of the flexible robotic hand is established, and then the numerical simulations based on the Monte-Carlo method and Matlab is applied to analyse the workspace of the hand and address the parameter optimisation problem of the rigid-flexible coupled system. Furthermore, an optimised grasping strategy on the basis of the principle of optimal efficiency is proposed to obtain an optimal grasping pose for the target object. Finally, a prototype is developed and tested in a laboratory to demonstrate the feasibility and effectiveness of our proposed hand. The results of practical experiments show that the robotic hand cannot only stably grasp objects with different sizes and shapes but also flexibly manipulate soft and fragile ones.

Topics & Concepts

GRASPWorkspaceComputer scienceKinematicsMATLABGrippersRobotic handArtificial intelligenceSimulationRobotComputer visionEngineeringMechanical engineeringClassical mechanicsPhysicsOperating systemProgramming languageRobot Manipulation and LearningSoft Robotics and ApplicationsTeleoperation and Haptic Systems