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Self-driving trucking company opens facility in Houston

Houston is now home to Kodiak and Ryder's autonomous "truckport" facility. Photo courtesy of Kodiak

In a major step toward driverless freight trucks hitting Houston-area roads, a facility for loading and unloading autonomous trucks opened recently near George Bush Intercontinental/Houston Airport

Miami-based transportation and logistics company Ryder operates the “truckport” for Mountain View, California-based Kodiak Robotics, which runs a network of autonomous freight trucks. The facility, located at 888 E. Airtex Dr., opened in December. It’s next to a Ryder maintenance center.

“The truckport can currently receive several truckloads per day, and the size of the Ryder facility provides the opportunity to scale much larger than that,” says Daniel Goff, director of external affairs at Kodiak.

“The number of employees stationed at the facility fluctuates day by day,” Goff adds. “Kodiak’s team that staffs the facility in this initial phase operates on a flexible schedule to align with the needs of the trucks that are utilizing the truckport.”

The Houston site is the first Kodiak truckport to be located at a Ryder facility. It serves freight routes to and from Houston, Dallas, and Oklahoma City.

Kodiak currently operates all routes with drivers on board, including its Houston-Dallas and Houston-Oklahoma City routes. The company plans to roll out its first driverless operations on Dallas-Houston route later this year, with the new Houston facility serving as a launchpad.

“Ryder’s industry-leading fleet services and vast footprint of service locations makes it an ideal partner as we scale autonomous trucks,” Don Burnette, founder and CEO of Kodiak, says in a news release. “Expanding our network of truckports with Ryder will enable us to operate autonomous trucks at scale with our customers.”

The most recent version of Kodiak’s truck debuted in Las Vegas at the recent 2024 Consumer Electronics Show (CES). Kodiak says the truck is equipped with safety-oriented software and hardware (including braking, steering and sensors).

Kodiak’s sixth-generation truck builds on the company’s track record of real-world testing, which includes carrying 5,000 loads over more than 2.5 million miles.

Founded in 2018, Kodiak has been delivering freight in Texas since mid-2019, including on the Houston-Dallas route. Kodiak announced in 2022 that it had teamed up with Swedish retailer IKEA to pilot autonomous freight deliveries in Texas between the IKEA warehouse in Baytown and the IKEA store in Frisco.

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This article originally ran on InnovationMap.

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A View From HETI

Researchers have secured $3.3 million in funding to develop an AI-powered subsurface sensing system aimed at improving the safety and efficiency of underground power line installation. Photo via Getty Images

Researchers from the University of Houston — along with a Hawaiian company — have received $3.3 million in funding to explore artificial intelligence-backed subsurface sensing system for safe and efficient underground power line installation.

Houston's power lines are above ground, but studies show underground power is more reliable. Installing underground power lines is costly and disruptive, but the U.S. Department of Energy, in an effort to find a solution, has put $34 million into its new GOPHURRS program, which stands for Grid Overhaul with Proactive, High-speed Undergrounding for Reliability, Resilience, and Security. The funding has been distributed across 12 projects in 11 states.

“Modernizing our nation’s power grid is essential to building a clean energy future that lowers energy costs for working Americans and strengthens our national security,” U.S. Secretary of Energy Jennifer M. Granholm says in a DOE press release.

UH and Hawaii-based Oceanit are behind one of the funded projects, entitled “Artificial Intelligence and Unmanned Aerial Vehicle Real-Time Advanced Look-Ahead Subsurface Sensor.”

The researchers are looking a developing a subsurface sensing system for underground power line installation, potentially using machine learning, electromagnetic resistivity well logging, and drone technology to predict and sense obstacles to installation.

Jiefu Chen, associate professor of electrical and computer engineering at UH, is a key collaborator on the project, focused on electromagnetic antennas installed on UAV and HDD drilling string. He's working with Yueqin Huang, assistant professor of information science technology, who leads the geophysical signal processing and Xuqing Wu, associate professor of computer information systems, responsible for integrating machine learning.

“Advanced subsurface sensing and characterization technologies are essential for the undergrounding of power lines,” says Chen in the release. “This initiative can enhance the grid's resilience against natural hazards such as wildfires and hurricanes.”

“If proven successful, our proposed look-ahead subsurface sensing system could significantly reduce the costs of horizontal directional drilling for installing underground utilities,” Chen continues. “Promoting HDD offers environmental advantages over traditional trenching methods and enhances the power grid’s resilience.”

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