USA flag logo/image

An Official Website of the United States Government

Efficient Stochastic Mobility Prediction for Mobile Robotic Systems

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
83252
Program Year/Program:
2007 / STTR
Agency Tracking Number:
A074-026-0191
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Quantum Signal LLC
200 N. Ann Arbor St. Saline, MI 48176-1139
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2007
Title: Efficient Stochastic Mobility Prediction for Mobile Robotic Systems
Agency / Branch: DOD / ARMY
Contract: W912HZ-07-P-0288
Award Amount: $99,963.00
 

Abstract:

Future Army operations will employ small (i.e. sub-500 kg) autonomous or semi-autonomous UGVs in both cross-country and urban environments. A fundamental requirement of these UGVs is to quickly and robustly predict their ability to successfully negotiate terrain regions and surmount obstacles. This mobility prediction capability is critical to successful deployment of UGVs that can operate effectively in challenging terrain with minimal or no human supervision. The purpose of this proposed research program is to develop a robust, efficient method for UGV mobility prediction that exploits recent advances in statistical simulation to yield a fundamentally new approach to mobility prediction for small UGVs. By coupling rigorous statistical techniques with physics-based UGV and terrain models, the methods will yield accurate predictions of mobility in general 3D terrain and not rely on idealized obstacle "primitives". The result of this Phase I research will be a proof-of-concept demonstration of the proposed mobility prediction method operating on an Army-relevant UGV test bed in a simulation environment. The proposed work would be performed as a collaboration between Quantum Signal, LLC (QS) and the Massachusetts Institute of Technology.

Principal Investigator:

Mitchell Rohde
COO
7349940028
rohde@quantumsignal.com

Business Contact:

Mitchell Rohde
COO
7349940028
rohde@quantumsignal.com
Small Business Information at Submission:

QUANTUM SIGNAL, LLC
3741 Plaza Drive Suite 1 Ann Arbor, MI 48108

EIN/Tax ID: 383456085
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
MIT
77 Massachusetts Avenue
Cambridge, MA 02139-
Contact: Stephen McAlarney
Contact Phone: (617) 253-3856
RI Type: Nonprofit college or university