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Robotic Utility Mapping and Installation System (RUMI)

Award Information
Agency: Department of Transportation
Branch: N/A
Contract: 6913G619C100054
Agency Tracking Number: 141FH3005IIB
Amount: $993,906.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: 141FH3
Solicitation Number: N/A
Timeline
Solicitation Year: 2019
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-09-25
Award End Date (Contract End Date): 2021-09-09
Small Business Information
15400 Calhoun Dr Ste 190 , Rockville, MD, 20855
DUNS: 161911532
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Devendra Tolani
 (301) 294-4630
 dtolani@i-a-i.com
Business Contact
 Mark James
Phone: (301) 294-5221
Email: mjames@i-a-i.com
Research Institution
N/A
Abstract
Today, urban underground spaces are shared by multiple utility companies for laying power lines, gas lines, water supply/sewage pipes, fiber-optic cables, etc. The recordings of such buried utilities are often erroneous, inadequate, or outdated (if they ever exist) due to insufficient surveying methodologies and as-built recording practices. Ability to accurately locate and provide awareness of buried utility structure is therefore urgently needed by not only those utility companies but also other stakeholders of the underground spaces such as city planners, construction companies, asset management/maintenance authorities, archaeologists, etc. To address this problem, IAI has developed the Robotic Utility Mapping and Inspection System (RUMI) whose demonstrated capabilities include: 1) Autonomous area inspection; 2) Integrated subsurface and aboveground data collection and 3D visualization; 3) Augmented reality projection; and 4) Dynamic asset information retrieval. In this effort, IAI will develop the next generation of the RUMI system—specifically being enhanced for practical use in operational environments. Some of the notable enhancements include: 1) Improvement of the situational awareness; 2) Extension of the asset management subsystem to the Building Information Modeling (BIM) framework; 3) Improvement of the autonomous mapping methods; and 4) Ruggedization of the robotic system.

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

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