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

ic system that will allow severely disabled patients to control a robot arm/hand system to perform complex grasping and manipulation tasks using novel brain muscle computer interfaces.

Collaborative Research: Multiple Task Learning from Unstructured Demonstrations
University of Massachusetts Amherst (Andrew Barto)

This research centers on programming by human demonstration. The project is developing techniques for the efficient, incremental learning of complex robotic tasks by breaking unstructured demonstrations into reusable component skills. A simple interface that allows end-users to intuitively program robots is a key step to getting robots out of the laboratory and into human-cooperative settings in the home and workplace.

A Biologically Plausible Architecture for Robotic Vision
University of California-San Diego (Nuno Vasconcelos)

The project seeks to develop a vision architecture for robots based on biologically inspired examples of high level vision systems (for example a gaze or ascertaining what a human is looking at) that is both biologically plausible and jointly optimal. This system would be useful for attention, object tracking, object and action recognition in both static and dynamic environments.

Context-Driven Haptic Inquiry of Objects Based on Task Requirements for Artificial Grasp and Manipulation
Arizona State University (Veronica Santos)

This work focuses on the sense of touch. The project aims to advance artificial manipulators by integrating a new class of multimodal tactile sensors with artificial, humanlike hands and developing inquiry routines based on contextual touch. Weight given to each mode of tactile sensing (force, vibration, temperature) will also be tuned according to the context of the task. The research explores how to make use of this stimulus, in order to enable assistive robots to better grasp, hold and carry objects.

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Contact: Lisa-Joy Zgorski
lisajoy@nsf.gov
703-292-8311
National Science Foundation
Source:Eurekalert  

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