首页|Findings from Nanjing University of Information Science and Technology (NUIST) Provides New Data on Robotics (A Variable Stiffness Soft Robotic Manipulator Based On Antagonistic Design of Supercoiled Polymer Artificial Muscles and Shape Memory ...)
Findings from Nanjing University of Information Science and Technology (NUIST) Provides New Data on Robotics (A Variable Stiffness Soft Robotic Manipulator Based On Antagonistic Design of Supercoiled Polymer Artificial Muscles and Shape Memory ...)
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NETL
NSTL
Elsevier
Research findings on Robotics are discussed in a new report. According to news reporting out of Nanjing, People’s Republic of China, by NewsRx editors, research stated, “This paper introduces a soft robotic manipulator with variable stiffness capability. A novel compact hybrid and antagonistic actuation method is proposed, inspired by the muscle structure of creatures/organs such as octopus and human wrist.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), Shenzhen Science and Technology Program, Natural Science Foundation of Fujian Province, Sichuan Science and Technology Program. Our news journalists obtained a quote from the research from the Nanjing University of Information Science and Technology (NUIST), “The manipulator consists of three pairs of shape memory alloy (SMA) springs-supercoiled polymer (SCP) strings in an antagonistic configuration. Both SMA spring and SCP string are thermally actuated. When the two types of actuators are driven, they are tensioned to increase stiffness, and the variable stiffness feature of the manipulator is further amplified by the antagonistic configuration of the actuators. A kinematic modeling of the manipulator is conducted, extending the classic constant curvature approach to six-actuators case. The effectiveness of this hybrid antagonistic variable stiffness mechanism and in reducing hysteresis are demonstrated experimentally.”
NanjingPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRoboticsRobotsNanjing University of Information Science and Technology (NUIST)
NETL
NSTL
Elsevier
