Passively addressed robotic morphing surface (PARMS) based on machine learning.

ABSTRACT: Reconfigurable morphing surfaces provide new opportunities for advanced human-machine interfaces and bio-inspired robotics. Morphing into arbitrary surfaces on demand requires a device with a sufficiently large number of actuators and an inverse control strategy. Developing compact, efficient control interfaces and algorithms is vital for broader adoption. In this work, we describe a passively addressed robotic morphing surface (PARMS) composed of matrix-arranged ionic actuators. To reduce the complexity of the physical control interface, we introduce passive matrix addressing. Matrix addressing allows the control of N² independent actuators using only 2N control inputs, which is substantially lower than traditional direct addressing (N² control i

SUBMITTER: Wang J 

PROVIDER: S-EPMC10361599 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature