Why this company adopted robotic dog technology

guest column

Who let the robotic dogs out? AT&T — and a Houston expert explains why in a guest column. Photo via Getty Images

What has 4 legs, can recognize your face, and precisely obey commands on cue? If you guessed a dog, you’re half right.

I’m referring to robotic dogs, a modern marvel of innovative engineering. AT&T recently expanded our solution offers to include network-connected robotic dogs for public safety, defense, federal and state agencies, local police and fire departments, and commercial customers. We do this in collaboration with a leading provider of robotic dogs, Ghost Robotics.

Robotic dogs are just one way we are proving the innovation and transformational possibilities of 5G and IoT. Network-connected robotic dogs can deliver a broad range of IoT use cases, including many that have previously required putting personnel in dangerous situations. Here’s a quick look at some of the fantastic capabilities network-connected robotic dogs deliver.

  • Our robotic dogs can support public safety agencies and organizations on FirstNet – the nation’s only network built with and for America’s first responders. FirstNet delivers always-on prioritized network connectivity for these “first responder” robotic dogs, helping them stay connected during disaster response and recovery, facilities surveillance, and security operations. They can support search and rescue, venture into areas that could imperil human lives, and support the ability to reestablish local communications services following major infrastructure damage.
  • We can integrate Geocast into the robotic dogs to provide Beyond-Visual-Line-of-Sight (BVLOS) operational command and control so that operators of the dogs can be located virtually anywhere in the world and remotely operate them. Geocast is an AT&T innovation covered by 37 patents.
  • The robotic dogs can be equipped with sensors that allow them to operate autonomously without human intervention. They can be outfitted with drones that can launch and return to their backs while in motion, allowing the drones and dogs to perform missions as an integrated team.
  • Rugged terrain? Water? Not a problem. These robotic dogs can move across natural terrain, including sand, rocks, hills, rubble, and human-built environments, like stairs. They can operate fully submerged in water and, like living dogs, can swim.
  • An early use case adopted by the military involves equipping our robotic dogs with wireless network-connected cameras and deploying them to patrol military bases. Robotic dogs we provided to the Air Force at Tyndall Air Force Base in the Florida panhandle are doing just that. Our robotic dogs patrol the flight line and base perimeter at Tyndall, feeding video data in real-time to base personnel who can safely track activity 24/7/365 and support the safety of base operations. They can perform the same task for commercial users, indoors or outdoors. For example, they can patrol the perimeters of large warehouses or outdoor fence lines.
  • They can also support hazmat efforts, inspect mines and high-voltage equipment, and detect explosive devices including improvised explosive devices (IEDs): all while keeping people out of harm’s way.
  • Another interesting use case involves equipping robotic dogs with Long Range Acoustic Devices (LRADs). LRADs are sound cannons that produce noise at high decibels and varying frequencies. We have discussed with the Navy the possibility of outfitting our robotic dogs with sound cannons to warn off wild boars and feral dog packs that have impeded operating crews working on telecommunications infrastructure located in remote areas of one of its bases.

Commercial applications for network-connected robotic dogs are proliferating. Utility companies, for example, are using robotic dogs equipped with video cameras to perform routine equipment inspections in substations. Human inspection requires operators to shut down the facilities during inspections; the robotic dogs eliminate the need to take this precaution. Allied Market Research projects a $13.4 billion global market for the particular use case of robotic dogs performing such inspections.

Our robotic dogs can also be equipped with technology that extends network connectivity into difficult-to-reach areas or mechanical arms that can grip and carry materials such as tools. Their use cases include Pick and Pack capabilities for warehouse operations to improve order fulfillment efficiency.

And this is just the beginning. We’ve said from the outset that the 5G journey of innovation and solution development would evolve to deliver new ways to conquer many challenges.

Now, we’ve let the dogs out.

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Lance Spencer is a client executive vice president of defense at AT&T Public Sector.

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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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