The $116.9 million agreement will task Intuitive Machines with delivering six science and technology payloads to the moon. Photo courtesy of Intuitive Machines

NASA is again entrusting a Houston space business with lunar deliveries.

Intuitive Machines (Nasdaq: LUNR, LUNRW) has secured its fourth contract with NASA’s Commercial Lunar Payload Services, or CLPS, program. The $116.9 million agreement will task Intuitive Machines with delivering six science and technology payloads, which will include one European Space Agency-led drill suite to the Moon’s South Pole.

“Over the last several years, we’ve witnessed NASA’s successful Artemis I mission and the campaign’s progress toward sustainably returning humans to the surface of the Moon, highlighting the importance of autonomous missions that advance humanity’s understanding of the Moon and the commercial services required to support the industry,” Intuitive Machines CEO Steve Altemus says in a news release. “Intuitive Machines looks forward to working closely with the NASA team to deliver mission success once again.”

The company outlined some of the technology involved in the contract:

  • PROSPECT, or Package for Resource Observation and In-Situ Prospecting for Exploration, Characterization, and Testing, which is led by the European Space Agency, is a suite of instruments that will extract samples from beneath the lunar surface to identify possible volatiles (water, ice, or gas) trapped at extremely cold temperatures.
  • Managed by NASA’s Goddard Space Flight Center, Laser Retroreflector Array (LRA) is a collection of eight retroreflectors that enable precision lasers to measure the distance between the orbiting or landing spacecraft to the reflector on the lander.
  • Surface Exosphere Alterations by Landers (SEAL), which will investigate the chemical response of lunar regolith to the thermal, physical, and chemical disturbances generated during a landing and evaluate contaminants injected into the regolith by the lander, will give insight into how a spacecraft landing might affect the composition of samples collected nearby. The project is managed by NASA’s Goddard Space Flight Center.
  • Fluxgate Magnetometer (MAG) will characterize certain magnetic fields to improve the understanding of energy and particle pathways at the lunar surface and is managed by NASA’s Goddard Space Flight Center.
  • Managed by the Laboratory for Atmospheric and Space Physics at the University of Colorado at Boulder, Lunar Compact Infrared Imaging System (L-CIRiS) will deploy a radiometer – a device that measures infrared wavelengths of light – to explore the Moon’s surface composition, map its surface temperature distribution, and demonstrate the instrument’s feasibility for future lunar resource utilization activities.

Intuitive Machines is currently working on its second lunar mission, which is scheduled to be delivered in late 2024.

Last month, Intuitive Machines signed a deal with Houston-based launch services company SEOPS to offer lunar rideshare services. Under the deal, Intuitive Machines will enable SEOPS to deliver customers' payloads to the surface of the moon, as well as to Lagrange points and geostationary transfer orbits. Essentially, this will let SEOPS hitch a ride on missions already planned by Intuitive Machines.

In April, Intuitive Machines was one of three companies chosen by NASA to perform preliminary work on building a lunar terrain vehicle that would enable astronauts to travel on the moon’s surface so they can conduct scientific research and prepare for human missions to Mars.

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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.”