Findings from Beijing University of Civil Engineering and Architecture Provide N ew Insights into Robotics (A Variable Stiffness Design Method for Soft Robotic F ingers Based On Grasping Force Compensation and Linearization)
Findings from Beijing University of Civil Engineering and Architecture Provide N ew Insights into Robotics (A Variable Stiffness Design Method for Soft Robotic F ingers Based On Grasping Force Compensation and Linearization)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics have been published. According to news originating from Beijing, People’s Republic o f China, by NewsRx correspondents, research stated, “Soft fingers play an increa singly important role in robotic grippers to achieve adaptive grasping with vari able stiffness features. Previous studies of soft finger design have primarily f ocused on the optimization of the structural parameters of existing finger struc tures, but limited efforts have been put into the design methodology from fundam ental grasping mechanisms to finger structures with desired grasping force featu res.” Financial supporters for this research include Beijing University of Civil Engin eering and Architecture (BUCEA) Project, BUCEA Post Graduate Innovation Project.
Key words
Beijing/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Robotics/Robots/Beijing University of Civil Engineering and Architecture
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