公开(公告)号：US11682276B2

公开(公告)日：2023-06-20

申请号：US17095564

申请日：2020-11-11

Applicant: Carnegie Mellon University

Inventor： Carmel Majidi ,  Michael D Bartlett ,  Eric J Markvicka

IPC: G08B7/06 ,  B05D1/32 ,  B05D1/02 ,  H01B5/14 ,  C08K3/10 ,  C08K3/08 ,  H01B1/22

CPC classification number: G08B7/06 ,  B05D1/02 ,  B05D1/322 ,  C08K3/08 ,  C08K3/10 ,  H01B1/22 ,  H01B5/14 ,  C08K2201/001

Abstract: Soft-matter technologies are essential for emerging applications in wearable computing, human-machine interaction, and soft robotics. However, as these technologies gain adoption in society and interact with unstructured environments, material and structure damage becomes inevitable. A robotic material that mimics soft tissues found in biological systems may be used to identify, compute, and respond to damage. This material includes liquid metal droplets dispersed in soft elastomers that rupture when damaged to create electrically conductive pathways that are identified with a soft active-matrix grid. These technologies may be used to autonomously identify damage, calculate severity, and respond to prevent failure within robotic systems.

公开(公告)号：US20210209906A1

公开(公告)日：2021-07-08

申请号：US17095564

申请日：2020-11-11

Applicant: Carnegie Mellon University

Inventor： Carmel Majidi ,  Michael D. Bartlett ,  Eric J Markvicka

IPC: G08B7/06 ,  H01B5/14 ,  B05D1/02 ,  B05D1/32

Abstract: Soft-matter technologies are essential for emerging applications in wearable computing, human-machine interaction, and soft robotics. However, as these technologies gain adoption in society and interact with unstructured environments, material and structure damage becomes inevitable. A robotic material that mimics soft tissues found in biological systems may be used to identify, compute, and respond to damage. This material includes liquid metal droplets dispersed in soft elastomers that rupture when damaged to create electrically conductive pathways that are identified with a soft active-matrix grid. These technologies may be used to autonomously identify damage, calculate severity, and respond to prevent failure within robotic systems.