NASA STTR 2012 Solicitation

FORM B - PROPOSAL SUMMARY


PROPOSAL NUMBER: 12-1 T4.01-9744
RESEARCH SUBTOPIC TITLE: Information Technologies for Intelligent and Adaptive Space Robotics
PROPOSAL TITLE: Robotics_MobileRobot Navigation

SMALL BUSINESS CONCERN (SBC): RESEARCH INSTITUTION (RI):
NAME: Advanced Scientific Concepts, Inc. NAME: University of Minnesota
STREET: 135 East Ortega Street STREET: 210 Delaware Street Southeast
CITY: Santa Barbara CITY: Minneapolis
STATE/ZIP: CA  93101 - 1674 STATE/ZIP: MN  55455 - 0300
PHONE: (805) 966-3331 PHONE: (612) 625-4104

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
Brad Short
bshort@asc3d.com
135 E. Ortega Street
Santa Barbara, CA 93101 - 1674
(805) 966-3331 Extension :105

CORPORATE/BUSINESS OFFICIAL (Name, E-mail, Mail Address, City/State/Zip, Phone)
JoAnn Stettner
Jstettner@asc3d.com
135 East Ortega Street
Santa Barbara, CA 93101 - 1674
(805) 966-3331

Estimated Technology Readiness Level (TRL) at beginning and end of contract:
Begin: 2
End: 4

Technology Available (TAV) Subtopics
Information Technologies for Intelligent and Adaptive Space Robotics is a Technology Available (TAV) subtopic that includes NASA Intellectual Property (IP). Do you plan to use the NASA IP under the award?
No

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
Robots and rovers exploring planets need to autonomously navigate to specified locations. Advanced Scientific Concepts, Inc. (ASC) and the University of Minnesota will develop a navigational system that employs an IMU and a 3D FLASH Lidar camera manufactured at ASC. The system will furnish both the position of the rover and an elevation map of the terrain. The map will be useful in detecting hazards to navigation both by rovers and during entry, descent and landing (EDL). The algorithm is designed to function in real-time with the comparatively slow speed computers available in space by employing an advanced algorithm that makes efficient use of Lidar determined landmarks. Those landmarks that only appear in a few images are not retained in the state vector, but nevertheless furnish constraints on the rover's pose for improving its state estimates. Those landmarks that persist in many images are used for improving the accuracy of both the rover's state and the map at complexity only linear in the number of landmarks. Significant components of this approach have enjoyed success in NASA tests in the Mohave Desert for EDL and have been assessed at level TRL 4.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The proposed effort will result in a navigational system that will enable a vehicle to autonomously move to a specified location in a GPS denied environment. It would enable a Rover vehicle on a moon or planet to travel without human guidance to a specified waypoint. It would also be useful to guide a spacecraft as it navigates above a small body such as an asteroid. It would be useful to autonomously guide tools such as a sampling arm. It may be suitable for unmanned aerial vehicles (UAV) to progress to a waypoint autonomously. The system is an improvement over existing Rover navigational systems because it is less computationally burdensome – an important feature in space where qualified computers are several generations behind their terrestrial counterparts

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The proposed navigational system that is based upon the ASC FLASH LidarTM camera would guide land vehicles to an intended destination autonomously while avoiding hazards in a GPS denied environment. The advanced navigation algorithm is designed to function with a computer having small computational power, which makes it suitable for applications such as unmanned air vehicles (UAV) where low SWAP is important. Accurate, lightweight navigational systems that function in GPS denied situations such as tunnels, indoors and in forests would be useful for many civilian and military applications including robotic mobility, enhanced situational awareness and rescue operations.

TECHNOLOGY TAXONOMY MAPPING (NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.)
3D Imaging
Data Processing
Entry, Descent, & Landing (see also Astronautics)
Entry, Descent, & Landing (see also Planetary Navigation, Tracking, & Telemetry)
Image Analysis
Lasers (Ladar/Lidar)
Navigation & Guidance
Optical
Ranging/Tracking
Relative Navigation (Interception, Docking, Formation Flying; see also Control & Monitoring; Planetary Navigation, Tracking, & Telemetry)
Robotics (see also Control & Monitoring; Sensors)


Form Generated on 03-28-13 15:21