Displaying 25 - 27 of 31
| ID# | Organization type | Agency interests | Capabilities offered | Equipment & facilities | Organization area of interest(s) | Other offerings | Partner capabilities sought | Partner type | Partner area of interest(s) | Other partner skills sought |
|---|---|---|---|---|---|---|---|---|---|---|
| Academic | our in house developed real multiple vehicle(s)/human(s) in shared virtual environment method can be used as the development, demonstration and testing method for the AOI on autonomy (Autonomous Systems Operations, Operator defined metrics for trusted autonomy) our in house developed autonomy algorithms can also be used in AOI on autonomy (Autonomous Systems Operations, Operator defined metrics for trusted autonomy) |
|
- connected and autonomous vehicles (hybrid electric passenger car and neighborhood electric vehicle) with drive-by-wire, full set of localization and perception sensors, low level and decision making control computers along with in-house developed path tracking and collision avoidance algorithms - in house developed connected and autonomous vehicle hardware-in-the-loop simulator with realistic other vehicle operation and game engine co-simulation capability - in house developed real vehicle(s)/human(s) in shared virtual environment simulation/testing/demonstration/development environment and method for autonomy and connectivity - drone with localization and perception sensors and connectivity to nearby road vehicles - simulation models for multiple road vehicles and drones - in house developed safe autonomy algorithms - in house developed deep reinforcement learning systems for safe autonomy | looking for academic, industry partners and federal contacts for taking part in proposals for AOI 6 on autonomy (Autonomous Systems Operations, Operator defined metrics for trusted autonomy) | Both academic and industry partners |
|
||||
| Academic | edge device, machine learning, edge-cloud computing, robotic perception and manipulation for automation |
|
We have developed a variety of hardware and machine learning-based software technologies, at a TRL level of 4 or above, for smart manufacturing and autonomous system applications, including: 1. edge device and streamlined machine learning running in edge-cloud computing infrastructure for condition monitoring and predictive maintenance of distributed machines and facities in a complex system; 2. Applicable, interpretable, and generalizable machine learning solutions for process monitoring and quality assurance in production systems 3. Robotic automation of complex manufacturing processes (e.g., arc welding), through integration of multi-modal sensing, inference of process state, and adaptive process control | cyber-security of edge-cloud computing; novel hardware design; companies in the field of IoT and automation |
|
|||||
| Small Business | Access to state-of-the-art facilities, including an advanced electronics assembly line, 3D X-ray inspection, CNC machines, an injection molder, and other cutting-edge manufacturing equipment. These resources offer engineering students hands-on experience in product development and prototyping. In addition to the technology, a network of professionals with diverse business and technical backgrounds serves as mentors, providing guidance in engineering, entrepreneurship, and commercialization. This unique environment fosters both technical skill development and strategic thinking, preparing students for careers in advanced manufacturing and technology-driven industries. |
|
Our organization is an integral part of the Hilliard City Lab, leveraging its state-of-the-art facilities to support innovation and hands-on learning. With access to an advanced electronics assembly line, 3D X-ray inspection, CNC machines, an injection molder, and other cutting-edge manufacturing equipment, we provide engineering students with real-world experience in product development and prototyping. Beyond the technology, we connect students with a network of professionals from diverse business and technical backgrounds who serve as mentors, offering guidance in engineering, entrepreneurship, and commercialization. This unique environment fosters both technical skill development and strategic thinking, preparing students for careers in advanced manufacturing and technology-driven industries. | The goal is to serve as an academic research tool while also providing students with valuable hands-on experience. By integrating advanced manufacturing capabilities with real-world applications, the program supports research initiatives while ensuring students gain practical skills in engineering, problem-solving, and innovation. Through direct engagement with industry-relevant technology and mentorship from experienced professionals, students develop both technical expertise and strategic thinking. This dual focus strengthens the bridge between academic learning and real-world application, preparing students for future careers in advanced manufacturing and technology-driven industries while fulfilling the SEE requirement. | Industry partner |
|
Check the ID# for the organizations above with which you would be interested in meeting. As you make selections, the Partner IDs are automatically entered below. Enter your contact information and we will review your request.
OFRN will facilitate all requested introductions; it is up to you whether you choose to pursue them.