Icosystem Corp.

10 Fawcett St.
Cambridge, MA 02138
http://www.icosystem.com
18 Employees

SBIR Award Summary

Total Number of Awards 5
Total Value of Awards $986K
First Award Date 06/30/02
Most Recent Award Date 10/22/12

Key Personnel

Last Name Name Awards Contact
Bonbeau Dr. Eric Bonbeau 1 Message
Bonabeau Dr. Eric Bonabeau 3 Message
Gaudiano Dr. Paolo Gaudiano 1 Message

5 Awards Won

Phase 1 SBIR

Agency: Navy
Topic: N122-144
Budget: 10/22/12 - 08/23/13

Traditional concepts of neural-machine interface use brain signals as: control inputs; to assess neurocognitive states for modification of information delivery to improve human performance; to guide selection of image sets. We propose a revolutionary concept of interfacing Electrical Geodesics technology (sensors and brain signal analysis) with...

Phase 2 SBIR

Agency: Navy
Topic: N04-118
Budget: 04/13/05 - 10/20/06

We propose to develop a quantitative computer model of the US Navy s M&P systems, and to use this model to analyze and design M&P policies. The proposed model extends our Phase I effort, and is based on agent-based modeling techniques. The model captures the dynamics of sailor recruitment, training and retention, as well as their performance dur...

Phase 1 SBIR

Agency: Navy
Topic: N04-118
Budget: 04/30/04 - 10/30/04

The number of responsibilities a sailor has on a ship is increasing while the amount of time available to complete those tasks is fixed. Continuous overloading of sailors with watchstanding, operations or maintenance duties can lead to degraded performance of both the battlegroups' mission and ship operations, coupled with increasing sailor burn...

Phase 1 STTR

Institution: Massachusetts Institute of Technology

Agency: Navy
Topic: N02-T016
Budget: 07/01/02 - 02/01/03

The US Navy has identified the need to develop quantitative frameworks to solve a variety of challenging problems, including sensor management and allocation, and adaptive flight control of Unmanned Air Vehicle (UAV) swarms. In collaboration with the MIT AI Lab, we propose to develop a framework that combines Reinforcement Learning (RL) and Gene...

Phase 1 SBIR

Agency: Air Force
Topic: AF02-257
Budget: 06/30/02 - 04/30/03

We will develop a control system for swarms of Unmanned Air Vehicles (UAV) based on biological principles of self-organization and emergent behavior. We will leverage our company's expertise in the areas of complex systems, swarm intelligence, self-organization and agent-based modeling. UAV swarms rely on local, distributed control and communi...