Measuring Unconstrained Grasp Forces Using Fingernail Imaging
University of Utah (Stephen Mascaro)
This project develops the technology for unconstrained, multi-fingered measurement of human grasp forces using a fingernail imaging technique. Human subjects freely choose where to place their fingers on objects, allowing for unconstrained multi-finger grasping. The co-robot then detects the individual finger forces of a human partner by ascertaining blood flow, as measured through color change on a fingernail. A co-robot trained with the appropriate calibration data could recognize and emulate or adapt to a human partner's grasp forces, measured using only vision.
Mixed Human-Robot Teams for Search and Rescue
University of Minnesota-Twin Cities (Maria Gini)
This research explores how to make groups of robots behave to accomplish a common goal. The project aims at increasing the ability to respond to large-scale disasters and manage emergencies by including robots and agents as team-mates of humans in search and rescue teams. The project focuses on large teams of humans and robots that have only incomplete knowledge of the disaster situation while they accomplish the mission to rescue people and prevent fires.
Multifunctional Electroactive Polymers for Muscle-Like Actuation
University of California-Los Angeles (Qibing Pei)
This project aims to develop a new, softer polymer material that is electronically stimulated to behave like an artificial muscle. Th
|Contact: Lisa-Joy Zgorski|
National Science Foundation