NASA SBIR 2018-I Solicitation

Proposal Summary


PROPOSAL NUMBER:
 18-1- Z5.02-4103
SUBTOPIC TITLE:
 Robotic Systems - Mobile Manipulation
PROPOSAL TITLE:
 ADAMANT: Adaptive Manipulation for Tasks
SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
TRACLabs, Inc.
100 North East Loop 410, Suite 520
San Antonio , TX 78216-1234
(281) 461-7886

Principal Investigator (Name, E-mail, Mail Address, City/State/Zip, Phone)
Dr. Robert Burridge
burridge@traclabs.com
100 North East Loop 410, Suite 520 San Antonio, TX 78216 - 1234
(281) 461-7886

Business Official (Name, E-mail, Mail Address, City/State/Zip, Phone)
David Kortenkamp
korten@traclabs.com
100 North East Loop 410, Suite 520 San Antonio, TX 78216 - 1234
(281) 461-7886
Estimated Technology Readiness Level (TRL) :
Begin: 3
End: 4
Technical Abstract

Robots will play an important role in NASA's upcoming missions to the Moon and beyond.  More than just remote sensors, they will be expected to manipulate their environment in a complex and useful way - carrying objects, using tools, and assisting the crew with various physical activities.  NASA has been developing world-class dexterous end effectors for years. Unfortunately, developing software to fully utilize such hands is very challenging.  Grasping strategies tend to be highly dependent on object models and localization, or reliant on a good connection to an operator.  As any of these deteriorate, even simple grasping of known objects becomes unreliable.  The environment or the object's intended use can influence how to grasp it.  The best way to pick up a tool will depend on whether it is to be transported to another location, handed to a crew member, or used as a tool.

Previously with NASA, TRACLabs developed robot control software called CRAFTSMAN that includes trajectory generation, simple action-sequencing capabilities, and a method for parameterizing, encoding, and visualizing task descriptions.  CRAFTSMAN supports robot-independent task descriptions, but grasp strategies are still robot-specific open-loop waypoint sequences, subject to the problems listed above.  In this work, we propose to extend CRAFTSMAN to handle grasping as a task-informed behavior, using sensor data and object models when possible to identify grasp sites.  This new system, called ADAMANT (ADAptive MANipulation for Tasks), will help an operator to determine the best option for acquiring an object.  The result will be a robot grasping interface that is more intuitive to use than current technology and will produce more robust robot behavior.  This will reduce the cognitive load on remote robot operators by eliminating the need for run-time manual adjustments.  By removing the details of grasp strategy from high-level planning, the design of action sequences will also become easier.

Potential NASA Applications

This work is immediately applicable to NASA robots such as Valkyrie, SPDM, and Resource Prospector. Future NASA robots will perform autonomous repair tasks on satellites or the Deep Space Gateway, and caretaker robots will maintain dormant facilities. Robots will also assist humans with tasks such as habitat construction or geological exploration. The proposed system will greatly improve the capabilities of these robots and the interfaces that support them.

Potential Non-NASA Applications

TRACLabs has an existing R\&D partnership with major automotive suppliers to integrate CRAFTSMAN into their plants. The first installation went live in September 2017 and operates continuously. The proposed research will be immediately applicable to their stated goals of deploying flexible workcells world-wide. TRACLabs is a member of the ROS Industrial Consortium (ROS-I), where this technology will be of interest to numerous consumers of advanced robotic technology.


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