TS-068477 — The Need Autonomous Mobile Robots (AMRs) are critical to modern, highly automated environments, operating 24/7 to optimize tasks, increase throughput, and meet demanding operational requirements. However, most task allocation and charging solutions focus solely on maximizing performance metrics like…

TS-063239 — The Ohio State University has developed a vulnerability analysis technique for connected and autonomous vehicles that assesses the vulnerability and attackability of the automotive controllers to determine the security of the system. The Need Automated vehicle technologies improve safety, assis…

TS-063007 — The Need In disaster-stricken areas, timely and accurate reconnaissance is paramount for effective response and recovery efforts. Traditional methods of assessing damage to critical infrastructure, such as power distribution poles, often involve time-consuming manual inspections, leading to delays …

TS-062834 — Road departure can be extremely dangerous for vehicles. Some vehicles are equipped with road departure mitigation systems to prevent this from happening. However, testing these systems can be difficult and costly, as it involves crashing vehicles into roadside objects. The concrete divider surr…

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TS-062490 — An exemplary parametric flutter margin method and associated system that can be used to identify the structural dynamic characteristics of an Unmanned Aerial Vehicle’s wing in a series of Ground Vibration Tests (GVTs) and initial flight-testing study.

TS-054005 — This technology is a Vehicle-in-Virtual Environment (VVE) method for testing and evaluating Autonomous Vehicles (AV). The VVE approach is a safe, reliable, repetitive, and scalable method of testing AVs, decreasing the risks and costs of testing AVs on public roads.