首页|Findings on Robotics Reported by Investigators at Xi'an Jiaotong University (Ele ctroactive Soft Bistable Actuator With Adjustable Energy Barrier and Stiffness)

Findings on Robotics Reported by Investigators at Xi'an Jiaotong University (Ele ctroactive Soft Bistable Actuator With Adjustable Energy Barrier and Stiffness)

扫码查看
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics. According to news originating from Xi'an,People's Republic of China,by NewsRx correspondents,research stated,"A soft bistable actuator can generate high-speed motion between two prescribed stable positions,which is very useful for boosting the actuation of soft robots. Generally,the stroke of such an actu ator is completely determined once the design is finalized,which prohibits its applications in robots that perform multiple tasks." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). Our news journalists obtained a quote from the research from Xi'an Jiaotong Univ ersity,"In the current work,a bistable actuator with adjustable characteristic s is proposed by exploring its strain energy landscape,in which the energy barr ier is manipulatable via electroactive twisted and coiled polymer fibers. As suc h,the actuator can operate in either bistable or postbistable mode,both of whi ch exhibit adjustable stiffness. A kinetostatic model that combines the chained beam constraint model and the mechanics of electroactive materials is establishe d to characterize the actuator design. Experimental results validate the kinetos tatic model and the behaviors of the actuator." According to the news editors,the research concluded: "As a robotic demonstrati on,a gripper that is formed by two actuators is prototyped,and it exhibits an adjustable load capacity (up to 6.5 times its weight under a 3 V voltage)." This research has been peer-reviewed.

Xi'anPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRoboticsXi'an Jiaotong University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.29)