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Nearly $50 million in research funding awarded by NSF
Date:9/17/2012

ace and tasks with humans and are used as a teaching platform in an introductory context, and later, as a laboratory platform for projects in intermediate and upper-level courses in which students can develop and even invent new services. This approach enhances a traditional approach to teaching computer science and provides ample opportunities for students to design, test, and evaluate using co-robot systems.

Managing Uncertainty in Human-Robot Cooperative Systems
Johns Hopkins University (Peter Kazanzides)

This research aims to capitalize on the distinct yet different strengths of humans (perception and reasoning) and machines (precision, accuracy and repetitiveness in information fusion, task planning and simulation) to design truly cooperative systems, managing uncertainty to achieve successful human-robot partnerships to perform complex tasks in uncertain environments. It will build manufacturing and medical testbeds (for minimally invasive surgery during which slight variations such as tremors, twitches or breaths can affect conditions) on which cooperative skills will be applied and tested.

A Novel Light-weight Cable-driven Active Leg Exoskeleton (C-ALEX) for Training of Human Gait
University of Delaware (Sunil K. Agrawal)

This research intends to improve gait training rehabilitation for stroke patients. It will help victims of stroke learn how to walk again. Unlike "clamp robots" that affix to body parts to bolster a patient's muscle strength, this robotic machine is more of a lightweight, puppet system that reduces muscle burden. The person engaged in rehabilitation does not feel anything that is unlike their own limbs (no artificial encumbrance, nothing bulky or uncomfortable). This approach seeks to overcome the tendency of those engaged in rehab using weights to forget what they learned during rehab once the weight is removed--the weight acts as a literal and figurative crutch. This could mean ho
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Contact: Lisa-Joy Zgorski
lisajoy@nsf.gov
703-292-8311
National Science Foundation
Source:Eurekalert  

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