The company wants to make Texas "the home of self-driving trucks." PRNewsfoto/Kodiak Robotics

The Interstate 45 freight corridor between Houston and Dallas now serves as a testing ground for self-driving cargo trucks.

Silicon Valley startup Kodiak Robotics Inc. recently began sending its autonomous 18-wheel trucks on trips between Texas' two largest metro areas, co-founder and CEO Don Burnette says. The trucks are carrying paid cargo, but Kodiak won't identify the customer or customers. The company also won't say how many trips the trucks are making each day.

The Texas initiative represents Kodiak's first foray into commercial deliveries. Wired.com notes that pretty much every player in the autonomous truck sector has conducted tests in Texas or is carrying commercial loads in the Lone Star State, which boasts more than 2,300 miles of interstate highways.

For its part, Kodiak aims to make Texas "the home of self-driving trucks."

According to a 2016 report from the Texas Department of Transportation, nearly half of all truck freight in Texas goes through the I-45 corridor's 11 counties. In some spots, trucks make up more than one-fourth of the traffic in the corridor, which runs 276 miles from Galveston to where I-45 intersects with Interstate 20 in Dallas County, the TxDOT report says.

"The importance of the I‐45 freight corridor to the movement of goods extends beyond Texas because much of the freight originating or passing through the corridor is destined to other domestic and international markets," the report says.

For now, Burnette says, two people are aboard each Kodiak truck traveling between Houston and Dallas — a safety driver and a safety engineer.

"Dallas will be our home base for testing and operations for the foreseeable future," Burnette says. "Kodiak plans to continue refining and testing its trucks until the last truck-involved accident happens on public roads."

Kodiak's Dallas office, which opened in March, employs eight people. The company plans to relocate soon to new office space in the Dallas suburb of Lancaster, Burnette says.

At this time, Kodiak doesn't plan to hire any workers in Houston, he says.

From its base in the Dallas area, Kodiak envisions expanding its service to routes throughout Texas, but it's focusing solely on the Houston-to-Dallas route for the time being, Burnette says.

Kodiak picked Texas for its truck tests, in part, because of the "warm welcome" extended by Gov. Greg Abbott, TxDOT, the Texas Department of Public Safety, the Texas A&M Transportation Institute, and other segments of the public sector, he says.

In addition, Burnette says, Kodiak chose Texas "because of its great people, freight-rich economy, reasonable regulatory structure, and robust infrastructure."

In 2017, Texas enacted laws enabling driverless vehicles, including long-haul trucks, to operate on the state's roads.

"Texas is a leader in the testing and implementation of connected and automated vehicles, and Kodiak's willingness to partner with academia and public agencies to ensure safe deployment of new technology will add significant value to our transportation system," Christopher Poe, assistant director of the Texas A&M Transportation Institute, says in a release.

Burnette, co-founder of Otto Trucking LLC, a self-driving truck startup purchased in 2016 by Uber Technologies Inc., and fellow entrepreneur Paz Eshel established Kodiak in 2018 to "redefine" long-haul trucking through self-driving technology.

Kodiak says its autonomous technology is designed to ease pressures facing the trucking industry, including a shortage of drivers and high turnover among drivers, while improving highway safety, fostering business efficiency, reducing traffic congestion, and cutting down on harmful emissions.

"Long-haul trucking is primed for autonomous technology," Kodiak says in a post on Medium. "Highway driving is more structured and predictable than urban driving. This means there are fewer decisions for drivers to make and [it's] a better fit for autonomous vehicles."

"As hard as it is to navigate city streets, autonomous vehicles are much closer to being able to drive on more structured interstate highways, which have no jaywalking pedestrians, no aggressive cyclists, and no runaway pets," Kodiak adds. "That's why we've focused on building technology specifically for long-haul trucks driving on highway routes, often referred to as the 'middle mile.'"

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How Houston innovators played a role in the historic Artemis II splashdown

safe landing

Research from Rice University played a critical role in the safe return of U.S. astronauts aboard NASA’s Artemis II mission this month.

Rice mechanical engineer Tayfun E. Tezduyar and longtime collaborator Kenji Takizawa developed a key computational parachute fluid-structure interaction (FSI) analysis system that proved vital in NASA’s Orion capsule’s descent into the Pacific Ocean. The FSI system, originally developed in 2013 alongside NASA Johnson Space Center, was critical in Orion’s three-parachute design, which slowed the capsule as it returned to Earth, according to Rice.

The model helped ensure that the parachute design was large enough to slow the capsule for a safe landing while also being stable enough to prevent the capsule from oscillating as it descended.

“You cannot separate the aerodynamics from the structural dynamics,” Tezduyar said in a news release. “They influence each other continuously and even more so for large spacecraft parachutes, so the analysis must capture that interaction in a robustly coupled way.”

The end result was a final parachute system, refined through NASA drop tests and Rice’s computational FSI analysis, that eliminated fluctuations and produced a stable descent profile.

Apart from the dynamic challenges in design, modeling Orion’s parachutes also required solving complex equations that considered airflow and fabric deformation and accounted for features like ringsail canopy construction and aerodynamic interactions among multiple parachutes in a cluster.

“Essentially, my entire group was dedicated to that work, because I considered it a national priority,” Tezduyar added in the release. “Kenji and I were personally involved in every computer simulation. Some of the best graduate students and research associates I met in my career worked on the project, creating unique, first-of-its-kind parachute computer simulations, one after the other.”

Current Intuitive Machines engineer Mario Romero also worked on Orion during his time at NASA. From 2018 to 2021, Romero was a member of the Orion Crew Capsule Recovery Team, which focused on creating likely scenarios that crewmembers could encounter in Orion.

The team trained in NASA’s 6.2-million-gallon pool, using wave machines to replicate a range of sea conditions. They also simulated worst-case scenarios by cutting the lights, blasting high-powered fans and tipping a mock capsule to mimic distress situations. In some drills, mock crew members were treated as “injured,” requiring the team to practice safe, controlled egress procedures.

“It’s hard to find the appropriate descriptors that can fully encapsulate the feeling of getting to witness all the work we, and everyone else, did being put into action,” Romero tells InnovationMap. “I loved seeing the reactions of everyone, but especially of the Houston communities—that brought me a real sense of gratitude and joy.”

Intuitive Machines was also selected to support the Artemis II mission using its Space Data Network and ground station infrastructure. The company monitored radio signals sent from the Orion spacecraft and used Doppler measurements to help determine the spacecraft's precise position and speed.

Tim Crain, Chief Technology Officer at Intuitive Machines, wrote about the experience last week.

"I specialized in orbital mechanics and deep space navigation in graduate school,” Crain shared. “But seeing the theory behind tracking spacecraft come to life as they thread through planetary gravity fields on ultra-precise trajectories still seems like magic."

UH breakthrough moves superconductivity closer to real-world use

Energy Breakthrough

University of Houston researchers have set a new benchmark in the field of superconductivity.

Researchers from the UH physics department and the Texas Center for Superconductivity (TcSUH) have broken the transition temperature record for superconductivity at ambient pressure. The accomplishment could lead to more efficient ways to generate, transmit and store energy, which researchers believe could improve power grids, medical technologies and energy systems by enabling electricity to flow without resistance, according to a release from UH.

To break the record, UH researchers achieved a transition temperature 151 Kelvin, which is the highest ever recorded at ambient pressure since the discovery of superconductivity in 1911.

The transition temperature represents the point just before a material becomes superconducting, where electricity can flow through it without resistance. Scientists have been working for decades to push transition temperature closer to room temperature, which would make superconducting technologies more practical and affordable.

Currently, most superconductors must be cooled to extremely low temperatures, making them more expensive and difficult to operate.

UH physicists Ching-Wu Chu and Liangzi Deng published the research in the Proceedings of the National Academy of Sciences earlier this month. It was funded by Intellectual Ventures and the state of Texas via TcSUH and other foundations. Chu, founding director and chief scientist at TcSUH, previously made the breakthrough discovery that the material YBCO reaches superconductivity at minus 93 K in 1987. This helped begin a global competition to develop high-temperature superconductors.

“Transmitting electricity in the grid loses about 8% of the electricity,” Chu, who’s also a professor of physics at UH and the paper’s senior author, said in a news release. “If we conserve that energy, that’s billions of dollars of savings and it also saves us lots of effort and reduces environmental impacts.”

Chu and his team used a technique known as pressure quenching, which has been adapted from techniques used to create diamonds. With pressure quenching, researchers first apply intense pressure to the material to enhance its superconducting properties and raise its transition temperature.

Next, researchers are targeting ambient-pressure, room-temperature superconductivity of around 300 K. In a companion PNAS paper, Chu and Deng point to pressure quenching as a promising approach to help bridge the gap between current results and that goal.

“Room-temperature superconductivity has been seen as a ‘holy grail’ by scientists for over a century,” Rohit Prasankumar, director of superconductivity research at Intellectual Ventures, said in the release. “The UH team’s result shows that this goal is closer than ever before. However, the distance between the new record set in this study and room temperature is still about 140 C. Closing this gap will require concerted, intentional efforts by the broader scientific community, including materials scientists, chemists, and engineers, as well as physicists.”

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This article originally appeared on EnergyCapitalHTX.com.