首页|Studies from University of Clermont-Auvergne Yield New Data on Robotics and Auto mation (A Soft Variable Stiffness Gripper With Magnetorheological Fluids for Robust and Reliable Grasping)

Studies from University of Clermont-Auvergne Yield New Data on Robotics and Auto mation (A Soft Variable Stiffness Gripper With Magnetorheological Fluids for Robust and Reliable Grasping)

扫码查看
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Robotics - Robotics a nd Automation have been presented. Accordingto news reporting originating from Clermont-Ferrand, France, by NewsRx correspondents, research stated,“This lette r describes a new type of soft robotic grippers with variable stiffness to grasp efficiently a wide variety of objects. The gripper includes two sections, a pne umatic chamber for actuation and a tippingsection for adjusting stiffness and s hape adaptation.”Financial support for this research came from EU Horizon 2020 Research and Innov ation Program.Our news editors obtained a quote from the research from the University of Clerm ont-Auvergne, “Thetipping section consists of Magneto-rheological (MR) fluid, a magnetic source, and a tactile sensor. TheMR fluid is responsible for changing the stiffness and it is solidified using the magnetic source which is acombina tion of magnetic elastomer, an electromagnet, and a permanent magnet. The tactil e sensor isembedded within the soft finger to detect contact with the object an d to trigger the magnetic source.Five experiments have been conducted to evalua te the gripper’s performance, stiffness, and success rate.Results indicate that the proposed soft gripper is an effective design that can ensure robust graspin g of awide variety of objects. Furthermore, the study demonstrates that our des ign can change stiffness in lessthan one millisecond while increasing the appli ed force by approximately 2.5 times.”

Clermont-FerrandFranceEuropeRoboti cs and AutomationRoboticsUniversity of Clermont-Auvergne

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.6)