About Me
Hi, I'm a Ph.D. student
in Computer Science at
the Cornell Creative
Machines Lab, where I research artificial intelligence, robotics,
and machine learning. Recent projects:
Aracna
(read the
paper) Many labs work on gait learning research, but since they each use different robotic
platforms to test out their ideas, it is hard to compare results
between these teams. To encourage greater collaboration between
scientists, we have developed
Aracna, an open-source, 3D printed platform that anyone can use for robotic
experiments.
AI vs. AI
As part of a class
project, Igor
Labutov and I cobbled together a speech-to-text + chatbot + text-to-speech system that could converse with a user. We
then hooked up two such systems, gave them names (Alan and Sruthi), and
let them talk together,
producing endless
robotic comedy. Somehow
the video became popular. There
was an XKCD about it, and Sruthi
even told Robert Siegel to “be afraid”
on NPR. Dress appropriately for the
coming robot uprising with one of our
fashionable t-shirts.
Gait Learning on QuadraTot
(read
the paper) Getting robots to walk is tricky. We compared many
algorithms for automating the creation of quadruped gaits, with all
the learning done in hardware (read: very time consuming). The best
gaits we found were nearly 9 times faster than a hand-designed gait
and exhibited complex motion patterns that contained multiple
frequencies, yet showed coordinated leg movement. More recent work
(publication in preparation) blends learning in simulation and reality
to create even faster gaits.
For more information, see
the project
website (with
video), project Trac,
and code on
GitHub.
Nevermind all this, just show me the videos!
Or, if you prefer, here's my slightly outdated CV.
Recent Papers more »
-
Nick Cheney, Jeff Clune, Jason Yosinski, and Hod Lipson.
“ Hands-free Evolution of 3D-printable Objects via Eye Tracking”
arXiv:1304.4889. 19 April 2013.
pdf |
abstract▾ |
bib▾
Interactive evolution has shown the potential to create amazing and complex forms in both 2-D and 3-D settings. However, the algorithm is slow and users quickly become fatigued. We propose that the use of eye tracking for interactive evolution systems will both reduce user fatigue and improve evolutionary success. We describe a systematic method for testing the hypothesis that eye tracking driven interactive evolution will be a more successful and easier-to-use design method than traditional interactive evolution methods driven by mouse clicks. We provide preliminary results that support the possibility of this proposal, and lay out future work to investigate these advantages in extensive clinical trials.
@article{cheney2013hands,
title={Hands-free Evolution of 3D-printable Objects via Eye Tracking},
author={Cheney, Nick and Clune, Jeff and Yosinksi, Jason and Lipson, Hod},
journal={arXiv preprint arXiv:1304.4889},
year={2013}
}
-
Nick Cheney, Jeff Clune, Jason Yosinski, and Hod Lipson.
“ Hands-free Evolution of 3D-printable Objects via Eye Tracking”
arXiv:1304.4889. 19 April 2013.
pdf |
abstract▾ |
bib▾
Interactive evolution has shown the potential to create amazing and complex forms in both 2-D and 3-D settings. However, the algorithm is slow and users quickly become fatigued. We propose that the use of eye tracking for interactive evolution systems will both reduce user fatigue and improve evolutionary success. We describe a systematic method for testing the hypothesis that eye tracking driven interactive evolution will be a more successful and easier-to-use design method than traditional interactive evolution methods driven by mouse clicks. We provide preliminary results that support the possibility of this proposal, and lay out future work to investigate these advantages in extensive clinical trials.
@article{cheney2013hands,
title={Hands-free Evolution of 3D-printable Objects via Eye Tracking},
author={Cheney, Nick and Clune, Jeff and Yosinksi, Jason and Lipson, Hod},
journal={arXiv preprint arXiv:1304.4889},
year={2013}
}
-
Nick Cheney, Jeff Clune, Jason Yosinski, and Hod Lipson.
“ Hands-free Evolution of 3D-printable Objects via Eye Tracking”
arXiv:1304.4889. 19 April 2013.
pdf |
abstract▾ |
bib▾
Interactive evolution has shown the potential to create amazing and complex forms in both 2-D and 3-D settings. However, the algorithm is slow and users quickly become fatigued. We propose that the use of eye tracking for interactive evolution systems will both reduce user fatigue and improve evolutionary success. We describe a systematic method for testing the hypothesis that eye tracking driven interactive evolution will be a more successful and easier-to-use design method than traditional interactive evolution methods driven by mouse clicks. We provide preliminary results that support the possibility of this proposal, and lay out future work to investigate these advantages in extensive clinical trials.
@article{cheney2013hands,
title={Hands-free Evolution of 3D-printable Objects via Eye Tracking},
author={Cheney, Nick and Clune, Jeff and Yosinksi, Jason and Lipson, Hod},
journal={arXiv preprint arXiv:1304.4889},
year={2013}
}
-
Sara Lohmann, Jason Yosinski, Eric Gold, Jeff Clune, Jeremy Blum and Hod Lipson.
“Aracna: An Open-Source Quadruped Platform for Evolutionary Robotics”
Proceedings of the 13th International Conference on the Synthesis and Simulation of Living Systems (to appear). 19 July 2012.
pdf |
abstract▾ |
bib▾
We describe a new, quadruped robot platform, Aracna, which requires
non-intuitive motor commands in order to locomote and thus provides an
interesting challenge for gait learning algorithms, such as those
frequently developed in the Evolutionary Computation and Artificial
Life communities. Aracna is an open-source hardware project composed
of off-the-shelf and 3D-printed parts, enabling other research teams
to modify its design according to their scientific needs. Aracna was
designed to overcome the shortcomings of a previous quadruped robot
platform, whose legs were so heavy that the motors could not reliably
execute the commands sent to them. We avoid this problem by
locating all motors in the body core instead of on the legs and
through a design which enables the servos to have a greater mechanical
advantage. Specifically, each of the four legs has two joints
controlled by separate four-bar linkage mechanisms that
drive the pitch of the hip joint and knee joint.
This novel design causes unconventional kinematics, creating
an opportunity for gait-learning algorithms, which excel in
counter-intuitive design spaces where human engineers tend to
underperform. Because it is low-cost, flexible, kinematically
interesting, and and improvement over a previous design, Aracna
provides a useful new hardware platform for testing algorithms that
automatically generate robotic behaviors.
@inproceedings{lohmann2012aracna:-an-open-source-quadruped,
Author = {Lohmann, Sara and Yosinski, Jason and Gold, Eric and Clune, Jeff and Blum, Jeremy and Lipson, Hod},
Booktitle = {Proceedings of the 13th International Conference on the Synthesis and Simulation of Living Systems},
Title = {Aracna: An Open-Source Quadruped Platform for Evolutionary Robotics},
Year = {2012 (to appear)},
}
more »
Personal
- My calendar, maybe useful for scheduling meetings.
- Slides from Machine Learning Summer School, in Kyoto, Japan, 2012.
- A bit of science fiction I wrote for a class.
- Fall Break 2011 trip to Lake George with other grad students.
- Flood cleanup in Owego, NY.
- Five week Europe and San Francisco conference trip during the summer of 2011.
- Fireworks on the First of July, because Ithaca is weird.
- Backpacking trip in Ithaca.
- Cross-country skiing for the first time, in Ithaca.
- Trip to Vermont with my roommates.
- See some pictures from my summer 2010 backpacking trip through South America.
- The Robotics Program at Eliot Middle School, created by Steve Crosby and I (now Stem X, run by Erik Dreyer).
- Find me on Twitter, Google Plus, Facebook, and Github.