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Robot Changes Tire, Takes High Level Voice Commands

Monday, April 1, 2013 15:13
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(Before It's News)

 

 

 
DARPA’s Autonomous Robotic Manipulation (ARM) program is developing software, hardware and sensors to enable robots to semi-autonomously grasp and manipulate objects in unstructured environments (meaning, “outside of a laboratory”) with human operators providing only task-level instructions. 

For example, rather than dictating step-by-step every movement a robot makes, a human can give DARPA’s ARM robot a high-level command like “Open the door” or “Screw in the bolt.” Performers on the ARM program have already demonstrated success using one arm and hand to manipulate objects. 
 
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Now DARPA is having teams test two arms and hands on tasks that require bimanual manipulation, like the robot changing a tire shown in this video. If DARPA is successful with grasping and manipulation, while also making robots more adaptable to changing environments and driving down the cost of production, robotic manipulation systems can be applied to a wide range of potentially dangerous Department of Defense.

The Autonomous Robotic Manipulation (ARM) program is creating manipulators with a high degree of autonomy capable of serving multiple military purposes across a wide variety of application domains. Current robotic manipulation systems save lives and reduce casualties, but are limited when adapting to multiple mission environments and need burdensome human interaction and lengthy time durations for completing tasks.

ARM seeks to enable autonomous manipulation systems to surpass the performance level of remote manipulation systems that are controlled directly by a human operator. The program will attempt to reach this goal by developing software and hardware that enables robots to autonomously grasp and manipulate objects in unstructured environments, with humans providing only high-level direction. 

The ARM program consists of three tracks: software, hardware and outreach. The hardware track focuses on design and development of low-cost dexterous multi-fingered hands taking advantage of recent manufacturing advancements. The software track focuses on developing new algorithms and approaches for grasping and manipulation using local sensors for perception. The outreach track engages a larger community by placing robotic systems in public museums (presently the National Air and Space Museum) and also encouraging unfunded participants to develop algorithms robot autonomy through the web to a real system.

 
Source: DARPA

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