Design of Robot Control Interfaces
Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W31P4Q-12-C-0216
Agency Tracking Number: D12A-002-0057
Amount:
$99,999.00
Phase:
Phase I
Program:
STTR
Awards Year:
2012
Solicitation Year:
2012
Solicitation Topic Code:
SB12A-002
Solicitation Number:
2012.A
Small Business Information
411 Waverley Oaks Road, Suite 114, Waltham, MA, -
DUNS:
005313494
HUBZone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Principal Investigator
Name: Michael Rufo
Title: Director, Advanced Systems Group
Phone: (781) 314-0723
Email: mrufo@boston-engineering.com
Title: Director, Advanced Systems Group
Phone: (781) 314-0723
Email: mrufo@boston-engineering.com
Business Contact
Name: Mark Smithers
Title: VP/ CTO
Phone: (781) 466-8010
Email: msmithers@boston-engineering.com
Title: VP/ CTO
Phone: (781) 466-8010
Email: msmithers@boston-engineering.com
Research Institution
Name: University of Massachusetts Lowell
Contact: Holly Yanco
Address: 883 Broadway Street
Lowell, MA, 01854-
Phone: (978) 934-3642
Type: Nonprofit college or university
Contact: Holly Yanco
Address: 883 Broadway Street
Lowell, MA, 01854-
Phone: (978) 934-3642
Type: Nonprofit college or university
Abstract
Boston Engineering"s Advanced Systems Group and Dr. Holly Yanco"s team at the University of Massachusetts at Lowell propose to develop a design science for robot operator interfaces and demonstrate its application through existing design tools and prototype systems that reduce operator training time, maximize the ability of an operator - robot team to maintain synchronization, and provide a baseline for the future execution of unmanned systems tasks at a normal military operational tempo. This science, named R-LUCID, leverages the fact that technology is providing sensors that can enable low-level autonomy but converts the art of interface design to a science by investigating and developing the metrics, techniques, and scenario-based approaches required. Additionally, this effort provides a unique method for generating a control ontology based on how humans are designed to perceive and use interface cues such that robot architecture could be developed to match, reducing the latencies and other operational tempo-slowing components of user and robot interaction further and further. This team is uniquely capable of performing this effort in a comprehensive and time-effective manner with valuable outputs available at stages of development considered to be far earlier than competitive efforts. * Information listed above is at the time of submission. *