Press Releases

Medical supply chain issues are exacerbated during pandemics, natural disasters, war, etc., and must be addressed Cybernet will investigate current logistic processes, available logistics data, and required capabilities to drive the development of an artificial intelligence based medical logistics planning system leveraging both expert system and machine learning technologies.

For this Small Business Innovative Research special accelerated effort to mitigate the impact of COVID-19, Cybernet will create an Intelligent Medical Logistics Planning System (IMLPS) to address common inventory challenges faced by the medical community, including untimely outage of medicines and surgical equipment, overstock of supplies, identifying stock shortfalls, monitoring the supplying, and predicting supply chain issues and disruptions. We will directly leverage the web based portal that Cybernet and LMI are currently developing for USINDOPACOM, where we monitor and track logistics assets and issues from a wide variety of different sources, and combine the information into a comprehensive one-page PowerPoint slide of linked information for review and dissemination.

LMI is supporting this effort as a subcontractor to Cybernet. LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services.

For more information about this effort, please contact Cybernet at This email address is being protected from spambots. You need JavaScript enabled to view it..

Cybernet is leveraging our experience with developing autonomous material handling vehicles to demonstrate how autonomous forklifts and autonomous tugs can be used collaboratively with people to efficiently retrieve and deliver materials required for performing maintenance tasks on Naval depots and installations.

As part of this effort, Cybernet is automating a small tug and a standard counter-balance forklift to enable autonomous retrieval and delivery of items. Naval maintainers will be able to request parts from a remote location and have them autonomously retrieved and delivered without leaving the maintenance location.
“Commercial industry has started to leverage autonomous material handling solutions to increase the productivity of their current workforce and to help off-set a shortage in qualified workers,” explains Glenn J. Beach, Cybernet’s President. “With this effort, we are demonstrating how the same technologies can improve the efficiency of Naval sustainment and modernization tasks.”

For more information about this effort, please contact Cybernet at This email address is being protected from spambots. You need JavaScript enabled to view it..

Under the National Advanced Mobility Consortium, Cybernet is leveraging artificial intelligence to develop both an untagged gesture recognition interface and a voice recognition system to support human computer interaction for Army soldiers.

“Whether the soldier is outdoors or in a combat vehicle, the environment for using hand gestures and voice commands is a complex, cluttered, and noisy environment. Techniques for human-computer interaction that work fine in the laboratory or even a home environment will not work in the battlefield,” explains Charles J. Cohen, Cybenret’s Chief Technology Officer. “Our goal to leverage advanced machine vision and artificial intelligence techniques to allow for accurate and robust human-computer interaction in operational environments.”

For more information about this effort, please contact Cybernet at This email address is being protected from spambots. You need JavaScript enabled to view it..

Cybernet is manufacturing new Automated Tactical Ammunition Classification Systems (ATACS) and Spent Brass Sorters (SBS) for use at Army installations for inspecting and separating field return ammunition and spent brass. These units allow soldiers and base personnel to focus on higher value tasks while the units inspect the ammunition and cases.

Cybernet is also providing maintenance and support for existing ATACS and SBS units that are currently fielded at Army installations within the U.S.

Under the Technical Support Working Group, Cybernet is building an Automated Expeditionary Site Documentation System (AESDS) that accurately documents event and crime scene sites at indoor and outdoor locations. The AESDS will be composed of two primary components, the handheld AESDS data collection system and the Site Exploitation Monitor Hub (SEMB).

“The difficult part is the development of technology that is almost a Star Trek like Tricorder, where we can map out a room or similar environment using just machine vision,” said Charles J. Cohen, Cybernet’s Chief Technology Officer. “Given the limitations of a hand held processing unit, this is a challenging and exciting project.”

For more information about this effort, please contact Cybernet at This email address is being protected from spambots. You need JavaScript enabled to view it..

Senator Gary Peters visited Cybernet on September 27th, 2019 where we discussed autonomous logistics platforms, artificial intelligence, and other Cybernet technologies that are used to support the warfighter. This included reviews and demonstrations of our various autonomous logistics platforms, including warehouse forklifts, the Light Capability Rough Terrain Forklift (LCRTF), and the Rough Terrain Container Handler (RTCH). The visit culminated in an open Town Hall style discussion with Cybernet employees.

Senator Peters and Cybernet

Senator Peters

Senator Peters Town Hall

Senator Peters

Cybernet is designing, developing, and testing a prototype, portable small caliber ammunition inspection capability to be used in the field by Modular Ammunition Companies. This Automated Ammunition Inspection System (AAIS) will be developed by leveraging our existing Automated Tactical Ammunition Classification System (ATACS) that is currently fielded at 12 CONUS military installations.

“Unlike our previous ATACS System, this prototype AAIS will be packaged in small modular containers that are easy to transport and can be easily setup to perform the inspection process on loose, field-returned small caliber ammunition,” said Glenn Beach, President of Cybernet Systems.

This program is funded from the DoD Ordnance Technology Consortium. For more information about this effort, please contact Cybernet at This email address is being protected from spambots. You need JavaScript enabled to view it..

Cybernet Systems Corporation has been awarded Rapid Innovation Fund contract by the Navy and USINDOPACOM titled "Leveraging Artificial Intelligence and Machine Learning to Supercharge Logistics." USINDOPACOM requires the capability to determine and assess current logistics situations and develop logistics forecasts that anticipate requirements up to and in excess of 30 days anywhere within the USINDOPACOM area of responsibility. While the current logistic systems and tools rely on external information to report various supply inventories, there is minimal forecasting available to anticipate potential supply chain issues, distribution shortfalls, and/or other unseen and unexpected logistical hurdles that can impede mission success.

Cybernet will leverage various artificial intelligence techniques, including Deep Learning, Expert Systems, and other machine learning techniques, along with team expertise on past, current, and future logistic concepts to develop an Intelligent Logistics Planning System (ILPS) that enhances the capability to anticipate potential supply chain issues, distribution shortfalls, and/or other unseen/unexpected logistic hurdles that might impede mission success.

"The military spends 90% of their time collecting data and only 10% of their time analyzing it. Our goal is to reverse those numbers, so that military experts can provide insight into current and near future logistics issues, backed up by artificial intelligent software agents," said Charles J. Cohen, Cybernet's Chief Technology Officer.

LMI is supporting this effort as a subcontractor to Cybernet. LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services.

For more information about this effort, please contact Cybernet at This email address is being protected from spambots. You need JavaScript enabled to view it..

Join our Vice President of Cybersecurity and Training Systems, Donald Lawson, for the panel discussion Cyber Impacts: How the New Cyber Guidance Impacts Military Training. He'll join other industry experts in the field at the 2019 Training & Simulation Industry Symposium (TSIS) to provide insight and direction on important cyber changes and what that means for the modeling, simulation, & training community.

Thursday, June 13th, 1400 to 1500, Salon 21, Rosen Shingle Creek

Cybernet Systems Corporation has been awarded a Phase I SBIR contract by the Air Force titled “Mobile Wildlife Surveillance System.” The Air Force Base has a requirement, based on the Endangered Species Act, the Sikes Act, and the Migratory Bird Treaty Act, to maintain the natural environment near their facilities, while still meeting military mission objectives.

For this effort we will create and deploy a remotely controlled or fully automated robotic (operator choice) mobile wildlife surveillance system (MWSS) or in support of managing natural resources. The system will be comprised of a small rugged robot that drives a search pattern based on a map and detected obstacles, and is able to collect video (visible light, IR, and perhaps thermal), audio, and weather related (e.g. temperature, pressure, and airspeed) data using a suite of relevant sensors.

The sensor data will be recorded and analyzed using deep learning software trained to recognize the relevant fauna and animal dwellings. The recorded data will be tagged with the identification information, and if the confidence is high enough, the robot will remotely notify experts, allowing teleoperation (if desired) of the robot and the sensors in order to verify or refute the automated detection. This verification/refutation can then subsequently be used to improve the identification process via more training.

This nine month Phase I SBIR effort for Edwards Air Force Base ends in December, 2019.

For more information about this effort, please contact Cybernet at This email address is being protected from spambots. You need JavaScript enabled to view it..