USA flag logo/image

An Official Website of the United States Government

Intelligent Multi-modal Ground Robotic Mobility

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
87304
Program Year/Program:
2008 / SBIR
Agency Tracking Number:
A082-160-1135
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Vecna Technologies Inc.
6404 Ivy Lane Suite 500 Greenbelt, MD -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2008
Title: Intelligent Multi-modal Ground Robotic Mobility
Agency / Branch: DOD / ARMY
Contract: W56HZV-09-C-0155
Award Amount: $69,999.00
 

Abstract:

The Army has a critical need for high performance robotic mobility platforms that can quickly and efficiently traverse challenging terrain, particularly those that would be encountered in a wartime urban environment. In order to accomplish these tasks, such robotic vehicles must have continuous contact and discrete contact locomotion modalities (e.g., tracks and legs) and must have the intelligence to automatically select and operate in the mode most suitable and efficient for the current situation. The proposed ultra-mobile unmanned vehicle platform features an automatically adaptable locomotion articulation. Key innovations include a novel hybrid/tracked mobility platform design with sufficient degrees of freedom and range of motion to allow for a great variety of interesting locomotion modes, a novel rotary hydraulic actuator with high strength, high range of motion, high speed, and adjustable compliance. An advanced control system supports highly energy efficient operation, thus increasing mission time between recharge/refueling. An advanced navigation system analyzes the local terrain in the vicinity of the robot, automatically plans locomotion trajectories in terms of center of mass, foot placements, and track movement, and then executes this plan. This mobility platform will provide a significant mobility improvement over wheeled systems.

Principal Investigator:

Andreas Hofmann
Director of Machine Learning
6178640636
ahofmann@vecna.com

Business Contact:

Michael Bearman
General Counsel, VP
2407371650
mbearman@vecna.com
Small Business Information at Submission:

VECNA TECHNOLOGIES, INC.
5004 Lehigh Avenue College Park, MD 20740

EIN/Tax ID: 522152399
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No