Texas A&M pilots $59M program for autonomous helicopters to fight wildfires

Autonomous firefighting

Texas A&M will work with DARPA to test fully automated and semi-automated helicopters to combat wildfires in the state. Image by Colie Wertz. Courtesy DARPA.

Texas A&M University's George H.W. Bush Combat Development Complex will receive $59.8 million to develop a way for autonomous helicopters to fight to wildfires in the state.

The funds appropriated from the Texas legislature will go toward acquiring up to four UH-60 Blackhawk helicopters and developing their autonomous configuration, as well as to facilities, tools and equipment for research, testing and integration of firefighting capabilities over the next two years, according to a release from Texas A&M.

The BCDC was also selected to work with the Defense Advanced Research Projects Agency (DARPA) on its Aircrew Labor In-cockpit Automation System (ALIAS), which works to reduce risks for pilots and aircraft in high-risk missions.

"Working together with Texas, we have an opportunity to use autonomous helicopters to completely change the conversation around wildfires from containing them to extinguishing them,” Stuart Young, DARPA program manager for ALIAS, said in a release from DARPA.

The BCDC program will incorporate DARPA's automation toolkit, known as MATRIX, which has already demonstrated fully autonomous flight capabilities on approximately 20 aircraft platforms. MATRIX, which was developed by California-based Sikorsky Aircraft, was previously tested in proof-of-concept demonstrations of autonomous fire suppression in California and Connecticut earlier this year, according to DARPA.

“I am proud we are working with DARPA in a manner that will benefit Texas, the Department of Defense, and commercial industry,” retired Maj. Gen. Tim Green, director of the BCDC, said in the release. “Wildland firefighting will be the first mission application fully developed to take advantage of over a decade of work by DARPA on its Aircrew Labor In-cockpit Automation System (ALIAS).”

The BDC will test fully automated and semi-automated ALIAS-equipped aircraft on highly complex firefighting tasks. The complex will also work with Texas A&M University–Corpus Christi’s Autonomy Research Institute, the Texas Division of Emergency Management, the Texas A&M Engineering Extension Service, the Texas A&M Forest Service and the Texas A&M Engineering Experiment Station on the project.

John Diem, director of the innovation proving grounds at BCDC, will serve as principal investigator for the project.

“Advancing system capabilities through the last stages of technology maturation, operational testing, and concept development is always hugely exciting and rewarding,” Diem added in the release. “The best part of my career has been seeing systems I tested move into the hands of warfighters. Now, I’m proud to help ensure ALIAS is safe and effective in protecting life and property – and we will do that through realistic and challenging testing.”

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Two researches at Texas A&M University have developed a diagnostic software for monitoring electrical equipment to prevent outages and even wildfires. Getty Images

Texas A&M University technology used to prevent outages and wildfires

hot tech

The threat of wildfires is on most people's minds as Australia suffers from devastating, uncontrollable fires in its southeastern region. While Australia's fires are alleged to be caused by natural occurrences, some, like the California wildfires of late 2019, are caused by electrical malfunctions and sparks

Engineers at Texas A&M University have found a solution for preventing these electricity-caused wildfires — and the subsequently caused electrical outages — with their diagnostic software called Distribution Fault Anticipation, or DFA. The software can interpret variations in the electrical current on utility circuits — usually caused by issues with the equipment — that can cause outages or spark fires.

A Texas A&M research team — spearheaded by B. Don Russell, professor of electrical and computer engineering, and research professor Carl L. Benner — is behind the DFA software.

The technology has been tested at over a dozen utilities in Texas over the past six years, according to a news release, and now two Californian utility companies — Pacific Gas & Electric and Southern California Edison — will be testing DFA. In 2018, a state law from the California Public Utilities Commission began requiring utilities to submit Wildfire Mitigation Plans, per the release.

Up next: The researchers are preparing to test the software in Australia and New Zealand.

DFA's specific algorithms are based on and refined through 15 years of research. Russell and Benner liken DFA to the diagnostic tools cars use, and, comparatively, the utilities industry is way behind the times.

"Utility systems operate today like my 1950s Chevy," Russell says in the release. "They have some fuses and breakers and things, but they really don't have anything diagnostic. They don't have that computer under the hood telling them what's about to go wrong."

B. Don Russell, professor of electrical and computer engineering, led the research at A&M. Photo via A&M

Normal wear and tear on electrical equipment is inevitable, but it's hard for inspectors to visually see this damage. Until this DFA software, utilities had no choice but to react to failures or outages, rather than put money into prevention. The software allows for these companies to better see what could potentially cause issues. And, now with the ability to factor in dry conditions and weather, the software can even predict potential wildfires.

"Power is being turned off with nothing known to be wrong with a given circuit," Russell says in the release. "Utilities need a crystal ball, something telling them which circuit is going to start a fire tomorrow because it is already unhealthy. We are kind of that crystal ball."

DFA has the potential to prevent outages and devastation caused by wildfires, and it also is a huge economic solution for utilities companies — especially the ones reeling from the recent fires in California.

Pacific Gas & Electric, which is testing nine DFA devices, is the state's largest utility company and recently filed for bankruptcy due to a near $100 billion required from settlements following recent fires. By comparison, a DFA device costs only $15,000, according to the release.

"DFA is a new tool, allowing utilities to transform their operating procedures to find and fix problems before catastrophic failures." Russell says in the release. "Utilities operators need real time situational awareness of the health of their circuits…..DFA does that."

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Houston unicorn closes $421M to fuel first phase of flagship energy project

Heating Up

Houston geothermal unicorn Fervo Energy has closed $421 million in non-recourse debt financing for the first phase of its flagship Cape Station project in Beaver County, Utah.

Fervo believes Cape Station can meet the needs of surging power demand from data centers, domestic manufacturing and an energy market aiming to use clean and reliable power. According to the company, Cape Station will begin delivering its first power to the grid this year and is expected to reach approximately 100 megwatts of operating capacity by early 2027. Fervo added that it plans to scale to 500 megawatts.

The $421 million financing package includes a $309 million construction-to-term loan, a $61 million tax credit bridge loan, and a $51 million letter of credit facility. The facilities will fund the remaining construction costs for the first phase of Cape Station, and will also support the project’s counterparty credit support requirements.

Coordinating lead arrangers include Barclays, BBVA, HSBC, MUFG, RBC and Société Générale, with additional participation from Bank of America, J.P. Morgan and Sumitomo Mitsui Trust Bank, Limited, New York Branch.

“As demand for firm, clean, affordable power accelerates, EGS (Enhanced Geothermal Systems) is set to become a core energy asset class for infrastructure lenders,” Sean Pollock, managing director, project Finance at RBC Capital Markets, said in a news release. “Fervo is pioneering this step change with Cape Station, a vital contribution to American energy security that RBC is proud to support.”

The oversubscribed financing marks Cape Station’s shift from early-stage and bridge funding to a long-term, non-recourse capital structure, according to the news release.

“Non-recourse financing has historically been considered out of reach for first-of-a-kind projects,” David Ulrey, CFO of Fervo Energy, said in a news release. “Cape Station disrupts that narrative. With proven oil and gas technology paired with AI-enabled drilling and exploration, robust commercial offtake, operational consistency, and an unrelenting focus on health and safety, we have shown that EGS is a highly bankable asset class.”

Fervo continues to be one of the top-funded startups in the Houston area. The company has raised about $1.5 billion prior to the latest $421 million. It also closed a $462 million Series E in December.

According to Axios Pro, Fervo filed for an IPO that would value the company between $2 billion and $3 billion in January.

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This article first appeared on EnergyCapitalHTX.com.

Houston food giant Sysco to acquire competitor in $29 billion deal

Mergers & Acquisitions

Sysco, the nation's largest food distributor, will acquire supplier Restaurant Depot in a deal worth more than $29 billion.

The acquisition would create a closer link between Sysco and its customers that right now turn to Restaurant Depot for supplies needed quickly in an industry segment known as “cash-and-carry wholesale.”

Sysco, based in Houston, serves more than 700,000 restaurants, hospitals, schools, and hotels, supplying them with everything from butter and eggs to napkins. Those goods are typically acquired ahead of time based on how much traffic that restaurants typically see.

Restaurant Depot offers memberships to mom-and-pop restaurants and other businesses, giving them access to warehouses stocked with supplies for when they run short of what they've purchased from suppliers like Sysco.

It is a fast growing and high-margin segment that will likely mean thousands of restaurants will rely increasingly on Sysco for day-to-day needs.

Restaurant Depot shareholders will receive $21.6 billion in cash and 91.5 million Sysco shares. Based on Sysco’s closing share price of $81.80 as of March 27, 2026, the deal has an enterprise value of about $29.1 billion.

Restaurant Depot was founded in Brooklyn in 1976. The family-run business then known as Jetro Restaurant Depot, has become the nation's largest cash-and-carry wholesaler.

The boards of both companies have approved the acquisition, but it would still need regulatory approval.

Shares of Sysco Corp. tumbled 13% Monday to $71.26, an initial decline some industry analysts expected given the cost of the deal.

Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”

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