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Advanced Robot Training Interface

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911QX-14-C-0017
Agency Tracking Number: O133-HS1-2103
Amount: $149,996.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: OSD13-HS1
Solicitation Number: 2013.3
Timeline
Solicitation Year: 2013
Award Year: 2014
Award Start Date (Proposal Award Date): 2013-12-31
Award End Date (Contract End Date): 2014-06-30
Small Business Information
One Mifflin Place Suite 400
Cambridge, MA 02138-
United States
DUNS: 007341493
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 James English
 CTO
 (888) 547-4100
 jde@energid.com
Business Contact
 James Bacon
Title: CFO
Phone: (888) 547-4100
Email: jab@energid.com
Research Institution
N/A
Abstract

Energid Technologies proposes a software architecture and supporting implementation focused on training robots. Currently, robot training for complex tasks often involves writing software, which is impractical in the field. To address this, Energid will leverage its commercial Actin robot control and simulation software to create a new open interface that will allow researchers and developers to share existing software and add algorithms that make robot training effective and broadly accepted. The new training software will include physics-based simulation for use both within control algorithms and for validating training procedures. It will apply a set of control primitives, including positioning and orienting of components and joints, which is both practical and provably complete for robot control. Built around this will be an algorithm development framework for scripting application of the control primitives in complex and powerful ways, and for integrating advanced sensor and planning algorithms for grasping and manipulation. In this work, Energid will leverage its more than 10 years of corporate experience in developing robot software to create an open system with the potential for transforming the use of robots.

* Information listed above is at the time of submission. *

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