Skip to main content
  1. Home
  2. Emerging Tech
  3. Photography
  4. News

NASA is training underwater drones to explore Europa’s icy oceans

Add as a preferred source on Google

Unmanned vehicles are helping scientists gather new information, and NASA researchers hope to teach drones to make their own decisions — while also navigating “a big obstacle course of robot death,” also known as the ocean. A research team recently experimented with underwater drones to help develop the technology to enable those unmanned submarines to explore the icy oceans believed to exist on Jupiter’s moon, Europa.

Researchers from NASA’s Jet Propulsion Laboratory at the California Institute of Technology and other organizations used a team of six coordinated drones in Monterey Bay, on the coast of California, earlier this year. While remotely controlled underwater submarine cameras are nothing new, the research team is hoping to teach the tools how to pick up clues from the environment on where to explore next.

Recommended Videos

The project aims to use artificial intelligence to teach the submersible drones to navigate based on what they find in the water around them. Researchers explained that the unmanned submarines would travel much the way marine life already does, in the way that plankton follow the nutrients in the water, small fish follow the plankton, and big fish follow the small fish. The group is aiming to teach the drones to monitor the water around them — and then make decisions based on those findings.

“Autonomous drones are important for ocean research, but today’s drones don’t make decisions on the fly,” researcher and head of the artificial intelligence group at the NASA branch, Steve Chien, said. “In order to study unpredictable ocean phenomena, we need to develop submersibles that can navigate and make decisions on their own, in real time.”

And if teaching a machine to make decisions isn’t already hard enough on its own, the research team identified a number of challenges that navigating in an ocean environment presents. For one, ocean currents add another less predictable variable to how marine life moves — and how the drone moves, if the team is successful at teaching the submarines to navigate that way.

The oceans — and even just the ones on earth — also present a number of obstacles leading the researchers to that description of an “obstacle course of robot death.” Saltwater can block signals, the unmanned submarines can get stuck in seaweed and never surface, or curious sharks may attempt to eat the drone as a snack.

If the team can manage the feat of teaching the drones to navigate based on the ocean life while avoiding obstacles, future researchers could focus more on the actual data collected and less on piloting the drones. “Our goal is to remove the human effort from the day-to-day piloting of these robots and focus that time on analyzing the data collected,” said Andrew Thompson, an assistant professor of environmental science and engineering at Caltech. “We want to give these submersibles the freedom and ability to collect useful information without putting a hand in to correct them.”

The team is planning to conduct additional (earth-based) research in the spring of next year.

Hillary K. Grigonis
Hillary never planned on becoming a photographer—and then she was handed a camera at her first writing job and she's been…
Yet another study says AI is bad for elections, and the rabbit hole gets worse
AI may be an election bomb waiting for someone to light the fuse
Voters cast their ballots on Election Day

Another election, another study has concluded that asking an AI chatbot for political guidance is a spectacularly bad idea. Research conducted during Hungary’s 2026 parliamentary election found that ChatGPT and Google Gemini offered not just inaccurate but also inconsistent and unreliable voting advice. The chatbots misclassified voter profiles, overlooked relevant parties, recommended parties absent from the ballot, and sometimes produced materially different answers when given the same information repeatedly.

AI keeps failing the voter test

Read more
Samsung’s humanoid robot ambitions are real, but factories come first
Samsung’s new robotics division has humanoids in its sights, although its immediate business is far more practical factory automation
Robot Touch Human Finger

Samsung wants a place in the humanoid race, but its new robotics push begins with machines built for factories rather than homes.

The CEO-led RX robotics division will initially focus on manufacturing robots. Samsung has separately identified humanoids as a priority, although it hasn’t announced a commercial model or explained where one fits into the division’s immediate plans.

Read more
The future of AI may depend on this one behind-the-scenes change
Running Claude on Android.

Whenever a new AI model arrives, it's easy to get caught up in the bells and whistles. We talk about how much smarter it is, how quickly it answers questions, or how realistic its images have become. But here's the thing: none of that matters much if the AI can't reliably work with the apps and services people use every day.

That's why an upcoming update to the Model Context Protocol (MCP) caught my attention. It isn't a new chatbot or a fancy AI model. In fact, most people will never even know it's happening. But it could quietly make the AI ecosystem a lot healthier. If you've never heard of MCP before, don't worry. Think of it as a shared language that lets AI assistants safely talk to apps like Gmail, Slack, calendars, databases, and countless other services. Instead of every company inventing its own way to make those connections, MCP gives everyone a common rulebook.

Read more