The project was part of a year-long senior design capstone by six students, known as Team Bay-Max, in Rice's Oshman Engineering Design Kitchen. Photo by Jeff Fitlow/Rice University

A team of Rice University engineering students has developed a new way for underwater robots to move around, save power and work more efficiently and quietly.

The robot uses reversible hydrogen fuel cell-based buoyancy control devices that convert water into hydrogen and oxygen (and the reverse) using electricity. Traditional underwater robots use thrusters or large pumps and propellers to change and hold depth, which can be heavy, have higher costs and use more energy. The use of reversible hydrogen fuel cells with balloons, allows the new robot to smoothly adjust its depth with less energy usage, according to a statement from Rice.

The project was part of a year-long senior design capstone by six students, known as Team Bay-Max, in Rice's Oshman Engineering Design Kitchen.

The students—Andrew Bare, Spencer Darwall, Noah Elzner, Rafe Neathery, Ethan Peck and Dan Zislis— won second place in the Willy Revolution Award for Outstanding Innovation at the Huff OEDK Engineering Design Showcase held at the Ion last month.

“Having spent a year on it now and putting so much time into it, getting to see the result of all that work come together is really rewarding,” Peck said in the statement.

“With a project like this, integration was critical,” Zislis added. “Another takeaway for me is the importance of determining a clear scope for any given project. With this robot, we could have focused on a lot of different things. For instance, we could have worked on improving fuel cell efficiency or making a robotic arm. Instead, we chose to keep these other elements simple so as not to divert focus away from the main part, which is the buoyancy control device. This kind of decision-making process is not just part of good engineering, but it’s relevant with everything in life.”

Elzner, for instance, focused on the dashboard that the robot feeds information to as it collects data from different sensors. It displays core system information, real-time graphs of the robot’s location and a simulation of its relative orientation, according to the statement.

Darwall, took a " deep dive into control theory and learn(ed) new software" to incorporate the video game joystick that allows the robot to combine manual control with an automatic stabilizing algorithm.

The proof-of-concept robot has potential applications in environmental monitoring, oceanographic research, and military and industrial tasks, according to Rice.

The team based the project on an academic paper by Houston researchers that showed that fuel cell-enabled depth control could reduce autonomous underwater vehicles’ energy consumption by as much as 85 percent.

It was authored by Rice professor Fathi Ghorbel and members of the University of Houston's Zheng Chen lab.

“This collaborative research aims to develop tetherless continuum soft engines that utilize reversible proton exchange membrane fuel cells and water electrolyzers to drive volume-mass transformation," Ghorbel said in a statement. "Through this design project, the BayMax team proved the efficacy of this technology in AUV interaction with the physical world.”

Ghorbel, Rice mechanical engineering lecturer David Trevas, and Professor in the Practice, Electrical and Computer and Engineering Gary Woods mentored the team.

Last month Rice also held its 24th annual Rice Business Plan Competition, doling out more than $1.5 million in investment and cash prizes to the top teams. Click here to see what student-led startups took home awards.
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Tesla Robotaxi service officially launches in Houston and Dallas

Future of the Roads

Tesla’s Robotaxi service has taken to the streets of Houston. In a brief statement Saturday, April 18 on its X social media account, Tesla Robotaxi says the autonomous rideshare service just launched in Texas’ two biggest metro areas — Houston and Dallas.

“Try Tesla Robotaxi in Dallas & Houston!” Tesla CEO Elon Musk says in a reposting on X of the Robotaxi announcement.

One of Robotaxi’s competitors, Alphabet-owned Waymo, beat the Tesla service to the Dallas, Houston, and Austin markets. Another competitor, Amazon-owned Zoox, has Dallas flagged for its autonomous rideshare service.

Robotaxi previously kicked off in Austin, where Tesla is based and manufactures electric vehicles, and the San Francisco Bay Area. Nearly 50 Robotaxis operate in Austin, where the service’s inaugural rides happened last year, and more than 500 in the San Francisco area.

Of the three rides logged in a 31-square-mile area in Dallas as of Monday morning, the average fare was $7.96 and the average trip was 3.5 miles, according to an online tracker of autonomous rideshare services. The tracker showed only one Robotaxi was on the roads in Dallas.

As of Monday morning, a 25-square-mile area in Houston had two Robotaxis on the road, according to the online tracker. The average fare for five recorded rides was $11.34 and the average trip was six miles.

“We want Robotaxi pricing to be simple and easy for you to understand,” according to the Robotaxi website. “Initially, as part of our introductory program, we will charge a simple, affordable rate plus applicable taxes and fees for all rides within the available service area.”

The tracker shows the Robotaxi in Dallas did not have a human aboard to monitor each trip, and only one of Houston’s two Robotaxis did not have a human monitor in the driver’s seat.

For now, all passengers ride in Tesla Model Y cars. Robotaxi operates from 6 am-2 am daily.

To use the service, you first must download the Robotaxi app, which works only on iPhones.

Robotaxi lets you stream music and adjust climate settings and seat positioning from the Robotaxi app or the vehicle’s touchscreen. Climate and media settings are stored in your Robotaxi profile and automatically transfer from one vehicle to another. If you own a Tesla, certain profile settings and media preferences are available in your own car as well as in a Robotaxi.

In January at the World Economic Forum in Davos, Switzerland, Musk said a “widespread” network of driverless rideshare vehicles would be operating in the U.S. by the end of this year, CNBC reported.

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This article originally appeared on CultureMap.com.

Houston VC funding surged nearly 50% in Q1 2026, report says

VC victories

First-quarter venture capital funding for Houston-area startups climbed nearly 50 percent compared to the same time last year, according to the PitchBook-NVCA Venture Monitor.

In Q1 2026, Houston-area startups raised $532.3 million, a 49 percent jump from $320.2 million in Q1 2025, according to the PitchBook-NVCA Venture Monitor.

However, the Q1 total fell 23 percent from the $671.05 million raised in Q4 2025.

Among the first-quarter funding highlights in Houston were:

  • Utility Global, which focuses on industrial decarbonization, announced a first close of $100 million for its Series D round.
  • Sage Geosystems raised a $97 million Series B round to support its geothermal energy storage technology.

Those funding rounds underscore Houston’s evolution as a magnet for VC in the energy sector.

“Today, the energy sector is increasingly extending into the startup economy as venture capital flows into companies developing the technologies that will shape the future of global energy,” the Greater Houston Partnership says.

The energy industry accounted for nearly 40 percent of Houston-area VC funding last year, according to market research and lead generation service Growth List.

Adding to Houston’s stature in VC for energy startups are investors like Chevron Technology Ventures, the investment arm of Houston-based oil and gas giant Chevron; Goose Capital; Mercury Fund; and Quantum Energy Partners.

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."