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Semi-Autonomous Manipulator Control Using 2D and 3D Scene Recognition

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
97767
Program Year/Program:
2010 / SBIR
Agency Tracking Number:
A093-187-0901
Solicitation Year:
N/A
Solicitation Topic Code:
Army 09-187
Solicitation Number:
N/A
Small Business Information
Autonomous Solutions, Inc.
990 North 8000 West Petersboro, UT -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2010
Title: Semi-Autonomous Manipulator Control Using 2D and 3D Scene Recognition
Agency / Branch: DOD / ARMY
Contract: W56HZV-10-C-0217
Award Amount: $119,244.00
 

Abstract:

Current mobile manipulators require extensive operator involvement to perform even simple tasks, such as opening a door, picking up an object, or emptying a container. f?oFly-the-gripperf?? algorithms have been implemented to free the user from specifying joint velocities when a desired x, y, z gripper path is desired (Berkemeier, Poulson, et al. 2008), (Johnston, et al. 2008). Further, f?opoint-and clickf?? or f?oclick-and-gof?? functionality allows the user to choose an object in a display and command the gripper to automatically move to the vicinity of the selected point. While this saves the user some trouble, the significantly more difficult task of grasping an object, picking it up, and manipulating it must still be performed manually. These manual operations are performed using a joystick, puck, mouse, or similar input device which requires concentration and hand dexterity and coordination. Often, mobile manipulators are used in difficult situations where technicians are under pressure to finish their tasks quickly in order to preserve human lives (possibly their own). Thus, it is crucial that semi-autonomous robot control algorithms be developed. For maximum benefit, the methods should apply to both existing and future platforms. For existing platforms, a f?oretro-fit kitf?? would add semi-autonomous manipulation capabilities to the thousands of mobile manipulators already in use. Future platforms, on the other hand, could be designed with suitable hardware already in place to implement the necessary algorithms developed in the proposed work for semi-autonomous manipulator control.

Principal Investigator:

Matthew Berkemeier
Senior Research Scientist
4357552980
matthew.berkemeier@autonomoussolutions.com

Business Contact:

Chris Brown
Business Development Manager
4357552980
jdummer@surfaceoptics.com
Small Business Information at Submission:

Autonomous Solutions, Inc.
990 North 8000 West Petersboro, UT 84325

EIN/Tax ID: 870662067
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No