NASA SBIR 2008 Solicitation
FORM B - PROPOSAL SUMMARY
|PHASE 1 CONTRACT NUMBER:
||In Situ Sensors and Sensor Systems for Planetary Science
||Grasp Algorithms For Optotactile Robotic Sample Acquisition
SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
Cybernet Systems Corporation
727 Airport Boulevard
Ann Arbor, MI 48108 - 1639
PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
727 Airport Blvd
Ann Arbor, MI 48108 - 1639
Expected Technology Readiness Level (TRL) upon completion of contract:
7 to 8
TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
Robotic sample acquisition is essentially grasping. Multi-finger robot sample grasping devices are controlled to securely pick up samples. Equations have been developed to provide optimal grasps for perfectly modeled objects, but grasping unmodeled objects like a random sample on planetary surfaces is an open research problem. Approaches to grasping unmodeled objects use various sensors, such as cameras, distributed pressure sensors, and strain gages, to characterize the object and the quality of a grasp. That information is then used to initiate or improve the grasp. 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 (300 sensors per square centimeter), 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.
This proposal focuses on an algorithm for improving grasp quality using several types of tactile information as well as the robotic grasper that can provide such information so that remote sample acquisition devices can perform as well as human sample gatherers
POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The force sensitive contact control technology has many potential applications within NASA. This technology includes innovative pattern sensing capabilities that provide a novel, highly accurate and sensitive human-machine interface. It also has the potential for greater accuracy in force measurement and control in a different regime than current sensor (strain gauge) technologies and can be a new tool in the machine designer's toolkit.
This technology will provide NASA with advanced, robust grasping solutions for unstructured environments. This will include both the computer vision algorithms that extract grasp quality metrics from an optotactile fingerpad, as well as the grasp algorithms that take advantage of that information. We will also investigate commercializing a monolithic hardware solution for an optotactile grasper, with a single board solution for image capture, lighting, and data processing.
POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The human-machine interface can be used to develop novel computer input devices for art or entertainment purposes. This unique interface has additional applications in medical training dummies or orthopedic foot measurement devices. The algorithms developed can improve robustness in industrial settings. They can also be used in unstructured environments with fragile materials, such as remote explosive disposal, or nuclear materials handling. Finally, they would be useful for manipulators in complex environments, like assistive robotics in the home.
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.
TECHNOLOGY TAXONOMY MAPPING
Form Generated on 08-03-09 13:26