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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Houston doctor wins NIH grant to test virtual reality for ICU delirium

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”