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Wipprecht’s Drinkbot 2.0 dress mixes your drink on voice command

Created using an Elegoo resin 3D printer and running on the open source BeagleY-AI platform

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It’s robotic cocktail galore with the new Drinkbot 2.0 3D printed cocktail system by Dutch fashiontech Designer Anouk Wipprecht. The dress serves you a drink based on voice command over a BeagleY-AI open hardware single board computer, equipped with six peristaltic pumps that mix drinks, – live on the body! In both a suit and a dress.

The system will be demonstrated during Embedded World 2024 in Nuremberg, Germany between April 9-11 at the Texas Instruments booth.


Anouk Wipprecht’s Drinkbot 2.0 dress lets those who wear it mix their drinks at any party and then it can even pour you a shot by voice command. Upon interacting with the system through voice command, six tiny peristaltic pumps on the back of the wearer start to move directional, injecting the combination of your
choice through a tube system to the 3D printed cup holder in the front of the design, where the wearer hands over the drink. The 3D printed backpiece was created in collaboration with Niccolo Casas and houses all the pumps.

The ingredients are divided into bases, alcohols and different syrups and the shots – inspired by a mixologist – are based on the participants’ responses. The system can mix 6 different kinds of liquids, something that the designer is particularly fond of.

“I already made similar versions in the robotic cocktail dress genre: the DareDroid 2.0 in 2010 which you needed to play ‘truth or dare’ with to get your drink, or a later version, in 2015 was the ‘DrinkBotDress’ that I open-sourced and worked on a single peristaltic pump. What gets me excited about this new dress is the 6 tiny peristaltic pumps embedded, it’s the first time I can do real-time mixing with it. Which adds to the nerdiness of this project.”

It’s also the first time the designer created a boy and a girl version of the dress.

Wipprecht's Drinkbot 2.0 dress was created using an Elegoo resin 3D printer and runs on the open-source BeagleY-AI platform

3D PRINTING || large prints

The Drinkbot 2.0 dress was created by Anouk Wipprecht using the Elegoo Jupiter SE 3D printer. A resin-based printer with a spacious build volume of 277.848 x 156.264 x 300 mm that allowed Wipprecht to prototype on the go while printing larger and multiple parts in a single batch, speeding up the workflow.

“Having access to a 3D printer with a large build-volume and a great resolution was for this project very valuable, using the resin was both cost-effective as also created a nice smoothness on some of the features of my design”

The printer adopts a COB+refractive light source that reduces light dispersion and provides uniform and consistent light exposure, resulting in sharper details, smoother final prints, and accurate dimensions.

Wipprecht's Drinkbot 2.0 dress was created using an Elegoo resin 3D printer and runs on the open-source BeagleY-AI platform


The dress runs on the new BeagleY-AI and features the highly efficient Texas Instruments AM67A Arm-based vision processor. The board is focused on deep learning aspects within a single-board computer. The dress makes use of this by running a voice-to-text app on the BeagleY-AI board and have that translate to commands to create drinks. They run on the Arm cores and offload the processing to the DSP cores to make the interactions fast and efficient. prides itself on being open source through introductory and technical documentation and detailed collaborative repositories.

“Being a big supporter of open-source, it is important for me to work with companies that stimulate and promote open-source because it fosters innovation and collaboration. In this case, open-source gives users ownership and transparency towards their design process.”

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Davide Sher

Since 2002, Davide has built up extensive experience as a technology journalist, market analyst and consultant for the additive manufacturing industry. Born in Milan, Italy, he spent 12 years in the United States, where he completed his studies at SUNY USB. As a journalist covering the tech and videogame industry for over 10 years, he began covering the AM industry in 2013, first as an international journalist and subsequently as a market analyst, focusing on the additive manufacturing industry and relative vertical markets. In 2016 he co-founded London-based VoxelMatters. Today the company publishes the leading news and insights websites and, as well as VoxelMatters Directory, the largest global directory of companies in the additive manufacturing industry.

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