SBIR/STTR Research Award

STTR Phase II: General Robot Controller for Legged Mobile Robots with Integrated Open Source Software

Award identifier 882bbcb1f03c726044ceb152cfbb2b4558858d1236af7d22dc0c773d45134b19Awarding agency National Science Foundation

Award amount

$500,000

Program and phase

STTR · Phase II

Award year

2009

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
ROADNARROWS LLC
Proposal award date
Not reported
Contract end date
Not reported
UEI
Q39GM5JSXH74
Solicitation number
NSF 06-598
Topic code
IT

Research abstract

This Small Business Technolgy Transfer (STTR) Phase II project focuses on the development of a generalized processing and sensor pack complete with open-source software and curricula for using legged robots as an educational platform for Science, Technology, Engineering, and Mathematics (STEM) courses. The innovation of this proposal is a middleware product called SkewZone Brain and Sensor Pack. This Brain Pack which consists of processing boards, plug-in sensors, wireless communication, software interfaces and mechanical hardware for attachment to commercially available legged robots, serves as a value-added layer between the low-level operations of a robot platform and the high-level software. Educators will be able to migrate their Brain Pack from one robot to another, allowing software, curriculum, and hardware reuseability. The Brain Pack provides sufficient sensory feedback to close the loop on the mechanical control of the legged platform. Higher-level cognitive algorithms, such as path-planning, vision, and behavior-based systems, can be easily developed or reused. The distinctive features and challenges of legged robots provide unique opportunities for high-school and college curricula in numerous STEM topics. Robots are currently used in a variety of classes. However, current educational robot platforms are dominated by wheeled robots; legged robots with a biological basis are almost absent. Robots, which have sufficient on-board processing power, sensors, a wireless interface, and open-source software, are necessary for building curricula that meet educational standards and for interesting research assignments.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

4 SBIR/STTR records share this UEI (2007–2011). Reported award amounts total $890,000. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: National Science Foundation, Department of Commerce

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.