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Grasp Algorithms For Optotactile Robotic Sample Acquisition

Award Information

Agency:
National Aeronautics and Space Administration
Branch:
N/A
Award ID:
90692
Program Year/Program:
2009 / SBIR
Agency Tracking Number:
085493
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Cybernet Systems Corporation
3885 Research Park Drive Ann Arbor, MI 48108-2247
View profile »
Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2009
Title: Grasp Algorithms For Optotactile Robotic Sample Acquisition
Agency: NASA
Contract: NNX09CD93P
Award Amount: $99,961.00
 

Abstract:

Robotic sample acquisition is basically grasping. Multi-finger robot sample grasping devices are controlled to securely pick up samples. While optimal grasps for perfectly modeled objects are known, grasping unmodeled objects, like a surface sample, is an open research problem. A major source of difficulty in robotic grasping, therefore, is the sensing of object parameters and grasp quality. Humans combine the high information content of vision, several types of haptic/tactile sensors in the fingers, and a sophisticated learning process to grasp unknown objects. In comparison, current robotic graspers rely on a much more limited set of sensors, particularly for measuring tactile properties. We propose to develop an algorithm for robust robotic grasping of samples using measurements of object stiffness, incipient slip, and the shape of the contact area between grasper and sample. All three measurements will be performed through a novel robotic grasper containing multiple cameras embedded within its soft silicone "flesh". The proposed control algorithm will use these three measurements to improve a grasp by adjusting both contact point locations and grasp forces.

Principal Investigator:

Katherine Jordan
Principal Investigator
7346682567
proposals@cybernet.com

Business Contact:

Daniel Jarrell
Business Official
7346682567
contractsmanagement@cybernet.com
Small Business Information at Submission:

Cybernet Systems Corporation
727 Airport Boulevard Ann Arbor, MI 48108

EIN/Tax ID: 430924383
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No