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

Siemens’ robotic spiders are like autonomous 3D printers with legs

Add as a preferred source on Google

Spiders can be creepy — especially when they’re a foot wide and have eyes like Wall-E. But Lucky for us the spiders pictured above share the Pixar’s character’s intent — to help us. They’re a creation of Siemens’ Corporate Technology at Princeton, designed to be the automated construction bots of the future.

Related: See here for more 3D printers and accessories

Recommended Videos

Livio Dalloro, leader of the Product Design, Modeling and Simulation Research team, calls them SiSpis — shorthand for Siemens Spiders. “SiSpis are part of a larger picture that we define as Siemens Agile Manufacturing Systems (SiAMS) and they represent the core of our autonomous systems research here in Princeton,” Dalloro said.

Instead of spinning silk, these robot spiders spin plastic — or rather, a cornstarch-sugarcane mix called poly lactic acid. They’re essentially 3D printers with legs. Dalloro said, “We are looking at using multiple autonomous robots for collaborative additive manufacturing of structures, such as car bodies, the hulls of ships and airplane fuselages.”

Hasan Sinan Bank, who holds several associated patents and played a leading role in the project said, “Each spider is capable of manufacturing only a small portion of a work piece.” Something as large as the hull of a ship, would need a virtual army of these spiders working together. A good portion of the research involved creating algorithms that let the robots coordinate as they work.

“With the exception of the spiders’ mini motors and cables, which were off-the-shelf products, we developed everything ourselves from the mechanics to the software,” Dalloro said. Physical parts were 3D printed, and the team developed a unique software that combines Siemens’ own NX and a Robot Operating System.

By dividing the area into a grid, the robots use the given length of their arms to figure out the space they need to cover. Input from a laser scanner and camera allow the robots to interpret their environment.

Not only will these robots build on their own, they’ll charge themselves. When a robot’s battery gets low, it will send information about its job to a fully-charged robot, essentially tagging in another worker before it stops working to automatically seek out a charging station. The new worker can take up exactly where the first left off.

Dalloro explained of the project, “Its goal was to create a prototype platform for autonomous manufacturing machines that can understand a task, split it up among available robots, and enter into a manufacturing process in a collaborative and coordinated way without explicit programming.”

Bank said, once these robotic spiders “mature” the technology has broad applications. SiSpis have been in development since 2014, and the team is still at work with no release date announced, so no need to worry about the robot uprising just yet.

Aliya Barnwell
Former Contributor
Aliya Tyus-Barnwell is a writer, cyclist and gamer with an interest in technology. Also a fantasy fan, she's had fiction…
AI can’t tell if you’re gay or straight, but it thinks it knows what both look like
AI knows it shouldn't judge a face, but apparently, drawing one is a different story.
Emilia Clarke AI generated stock image. Gemini / Nano Banana is on the left

We've all been told not to judge a book by its cover, and you'd think AI would follow that rule, too. Ask an AI chatbot to guess someone's sexual orientation just by looking at their face, and it'll likely tell you that there's no reliable way to know. But what happens when you ask that same model to change someone's appearance to match a particular sexual orientation? Well, that's where things get uncomfortable.

A new study, accepted for presentation at the 2026 Conference on Empirical Methods in Natural Language Processing, found that AI models from OpenAI and Google can be inconsistent when handling sensitive personal characteristics. They might refuse to make assumptions about someone based on their appearance, but when asked to generate those same assumptions visually, the results tell a very different story.

Read more
A clinical study with Google’s special chatbot shows a strong future for AI in healthcare
Google’s medical AI could give doctors a useful second set of eyes
Google Articulate Medical Intelligence Explorer chatbot

AI is a useful tool for handling many tasks in private as well as professional settings, but medical advice, especially diagnosis, is one area where I generally draw the line. General-purpose chatbots tend to sound confident and convincing while giving medical advice, even when they are wrong, as studies have previously found.

That being said, Google's new research points to a much more convincing use for AI in healthcare. Its Articulate Medical Intelligence Explorer chatbot, or AMIE for short, could help prepare both sides before the appointment even begins.

Read more
Relaxation music had one job in this pain study, and favorite songs did it better
Patients who chose their music reported less pain after an IV insertion
Book, Publication, Indoors

Patients’ favorite songs helped ease pain after an IV insertion in a new study, while music specifically chosen for relaxation didn’t show a significant benefit. The soothing soundtrack could apparently use a second opinion.

Researchers at University Hospital Zürich studied 204 patients receiving an IV cannula before an MRI scan. Those listening to their chosen music reported less pain 30 seconds and two minutes after insertion. Across the full sample, the clearest relief came after the needle went in.

Read more