首页|Data from University of Maryland Advance Knowledge in Robotics (Holding Performance of an Adaptive Magnetorheological Fluidbased Robotic Claw)

Data from University of Maryland Advance Knowledge in Robotics (Holding Performance of an Adaptive Magnetorheological Fluidbased Robotic Claw)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Robotics. According to news originating fromCollege Park, Maryland, by NewsRx correspondents, research stated, “This study addresses the holdingperformance of an adaptive magnetorheological fluid (MRF)-based robotic claw that can grasp a widerange of objects satisfying various grasping task requirements. To this end, a two-finger type of MRFbasedrobotic claw was proposed in this study.”

College ParkMarylandUnited StatesNorth and Central AmericaEmerging TechnologiesMachine LearningRoboticsRobotsUniversity of Maryland

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jan.9)