Robohub.org
 

2017 Robot Art Competition winners announced


by
19 May 2017



share this:

A record number of teams submitted beautiful robot-created artwork for the second year of this 5-year worldwide competition. In total, there were 38 teams from 10 countries who submitted 200 different artworks!

Winners were determined based on a combination of public voting (over 3000 people with a Facebook account), judges consisting of working artists, critics, and technologists, and by how well the team met the spirit of the competition—that is, to create something beautiful using a physical brush and robotics, and to share what they learned with others.  Learn more about the goals of the contest and its rules here.

Teams are encouraged to hang on to their artwork as there will be a physical exhibition of robotic-created artwork following next year’s competition (Summer 2018).  This exhibition, most likely in Seattle, WA, will showcase winners of the 2017 and 2018 competition.  The goal is to test Andy Warhol’s theory that  “You know it’s ART, when the check clears.”

… and now, for the team winners of the 2017 Robot Art Competition:


1st Place—$40,000—PIX18 / Creative Machines Lab—Columbia University (USA)

House, by PIX18 & Creative Machines Lab

This project from Columbia shows a high level of skill with brushstrokes. This, along with some deep learning algorithms, produces some lovely paintings from sources or scratch. When they used a photograph as the source they were able to create plenty of variation from the original and using a fluid medium to produce an atmospheric and open-ended visual experience.  Much of their work had a painterly and contemporary presentation.


2nd Place—$25,000—CMIT ReART, Kasetsart University (Thailand)

King Bhumibol Adulyadej, by CMIT ReArt

Artists program this robot brushstroke by stroke, using a haptic recording system that generates volumes of data about the position of the brush and the forces being exerted. When re-played, reART will generate a perfect reproduction of the original strokes. Haptic recording and playback allows for remarkably high-quality inkbrush drawings

One of the aspects of a success commercial artist is to know their market.  In this case, the students chose to paint the popular and recently deceased Thai King and therefore were able to get many students to vote for their team.


3rd Place—$10,000—CloudPainter—Gonzaga (USA)

Hunter 2017 (Deep Learning Abstract Portraiture), by CloudPainter

All of this teams offerings are important. They are aiming at an interpretation of the optical properties of oil paint and applying them to deep learning. Spontaneous paint, “mosaicing” of adjacent tones, layering effects and the graphical interplay between paint strokes of varying textures, are all hand/eye, deeply neurally sophisticated aspects of oil painting that this team is trying to evince together with a robot.

This team also won the $5,000 prize for technical contribution.


4th Place $6000—e-David—University of Konstanz (Germany)

Homage to Jackson Pollock, by e-David

Using software that enables a collaboration between a human artist and roboticist, e-David mimics closely the approach a human painter would work on the canvas. An accompanying academic paper goes into deep detail about their approach to the project.


5th Place $4000—JACKbDU—New York University Shanghai (China)

WWF, by JACKbDU

Clean lines, interesting abstractions, both familiar and abstract subjects made me appreciate the overall body.  In particularly, purely from aesthetics, these were found to be most compelling.


6th Place $2000—HEARTalion—Halmstad University (Sweden)

MISERABLE, by HEARTalion

If this body of work was exhibited at a gallery and I was told that the artist aimed to capture emotion through color, composition, and textures—I would buy (says one of our professional judges). The bold brush strokes, cool or warm templates to match the emotional quality expressed, all made sense—but felt alive. Loved them.


7th Place $2000—Late Night Projects—Independent

Koi: Layered Painting, by Late Night Projects

Loved the composition of both of these pieces.  Both pieces bring an emotive calm with just a few colors, technique, and simplicity.  Gem-style optical sketch, intimate scale, good formal balance, medium application and value panels.


8th Place $2000—Wentworth Institute of Technology (USA)

Profile 03, by Wentworth Institute of Technology

This project uses the precision of a robot to take crude brush dabs to astonishing levels. By incorporating 3d scans into its image generation, this bot operates with a complete understanding of its subject; much like a human painter would have someone sitting for them. The team was kind enough to publish their 3d models and source code, so others can learn from and build off of their work.


9th Place $2000—CARP—Worcester Polytechnic Institute (USA)

Geometry No1, by CARP

Very good line. Lots of space in this drawing and central form is simultaneously dense and traversable.  Good architectural reference in clear tooling, but enlivened by sumo type or Franz Kline strokes. If the shapes can continue to be explored while maintaining the hand/machine balance, this will remain a strong venue.

Slightly synesthetic. Beautiful and balanced fusion of technical and handmade, crystalline and organic.


10th Place $2000—BABOT—Massachusetts Institute of Technology (USA)

People in Space, by BABOT

MIT’s BABOT was able to produce this and other inspiring vistas.


Special recognition prizes $1000/each

Chicago Engineering Design Team – University of Illinois at Chicago (USA)

JacksonBot – University of Heidelberg (Germany)

Christian H. Seidler – The Jeffersonian Institute (USA)

Anguis – Oregon State University (USA)

Manibus Team – Ballet Des Moines (USA)

Special thanks to the judges:

Stacy Nagata, Peter MalarkeyJonathan Zornow.


Click here to see more works of RobotArt, and to learn more about the competition.



tags: , , , , , ,


Robohub Editors


Subscribe to Robohub newsletter on substack



Related posts :

Generative AI improves a wireless vision system that sees through obstructions

  08 Apr 2026
With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.

Resource-constrained image generation and visual understanding: an interview with Aniket Roy

  07 Apr 2026
Aniket tells us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.

Back to school: robots learn from factory workers

  02 Apr 2026
A Czech startup is making factory automation easier by letting workers teach robots new tasks through simple demonstrations instead of complex coding.

Resource-sharing boosts robotic resilience

  31 Mar 2026
When a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems.

Robot Talk Episode 150 – House building robots, with Vikas Enti

  27 Mar 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Vikas Enti from Reframe Systems about using robotics and automation to build climate-resilient, high-performance homes.

A history of RoboCup with Manuela Veloso

and   24 Mar 2026
Find out how RoboCup got started and how the competition has evolved, from one of the co-founders.

Robot Talk Episode 149 – Robot safety and security, with Krystal Mattich

  20 Mar 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Krystal Mattich from Brain Corp about trustworthy autonomous robots in public spaces.

A multi-armed robot for assisting with agricultural tasks

  18 Mar 2026
How can a robot safely manipulate branches to reveal hidden flowers while remaining aware of interaction forces and minimizing damage?



Robohub is supported by:


Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence