AAAI-07 AI Video Competition: Accepted Videos
Note: These are ordered alphabetically by first developer's surname,
and will later be available in a standard codec.
- A service robot named Markovito
(Videolectures
MOV
Mirror, 4:59, 107.0MB)
Hector Hugo Aviles-Arriaga (1), Elva Corona-Xelhuantzi (1), Victor
Manuel Jaquez Leal (2), Sergio Hernandez (2), Enrique Sucar (1), &
Eduardo Morales (1)
(1) Instituto Nacional de Astrofisica, Optica y Electronica, &
(2) Tec de Monterrey Campus Cuernavaca
This shows the Peoplebot Markovito as it
delivers messages and objects between offices. It can
perform speech communication, face recognition, global localization,
uses a probabilistic grid map, and is controlled by a Factored MDP.
- Dance evolution
(Videolectures
MOV,
Mirror, 4:28, 388.8MB)
Jeff Balogh, Greg Dubbin, & Michael Do
Faculty Advisor: Kenneth O. Stanley
University of Central Florida, USA
Nominations: Best Student, Best Explanation
The only submission from undergraduates, this
unique video challenges AI to learn how to dance by demonstrating
how neuroevolution can be used to (interactively) evolve dancing
techniques.
- k-nearest neighbor classification
(Videolectures
MPEG-4,
Mirror, 3:21, 22.9MB)
Antal van den Bosch
Tilburg University, Netherlands
Nominations: Best Video, Best Explanation
In this short animated video the k-nearest neighbor
classifier is introduced with simple 3D visuals. A real-world
application, word pronunciation, is used to exemplify how the
classifier learns and classifies. The video features a synthesized
voice over.
- Morphogenesis: Shaping swarms of intelligent robots
(Videolectures
XViD,
Mirror, 4:57, 161.8MB)
Anders Lyhne Christensen, Rehan O'Grady, & Marco Dorigo
Université Libre de Bruxelles, Belgium
Nominations: Best Video
Describes, simulates, and demonstrates in hardware the utility
of (rule-based) morphogenesis for shaping robot swarms.
- Power agents at MDRS: The mobile agents project
(Videolectures
MOV (Mirror),
7:10, 99.6MB)
Bill Clancey
NASA Ames Research Center, USA
Nominations: Best Demonstration, Most Visionary
A comprehensive demonstration of the agents being used
at the MDRS, scripted with inspiration from the HAL 9000. Permission granted
for additional video length, although the main video ends at 5min.
- Unmanned Aerial Vehicles: Selected Autonomous Functionalities
(Videolectures
MOV,
Mirror, 1:08, 69.3MB)
Patrick Doherty & Piotr Rudol
Linkopings Universitet, Sweden
Nominations: Best Short
This short demo summarizes the capabilities of some
autonomous unmanned air vehicles/helos, flying outdoors, that do
not use GPS navigation techniques.
- Autonomous UAV search and rescue
(Videolectures
MOV,
Mirror, 5:40, 144.4MB)
Patrick Doherty & Piotr Rudol
Linkopings Universitet, Sweden
Nominations: Best Video, Best Demonstration
This longer demo films the application of some
autonomous unmanned air vehicles/helos, flying outdoors, for a
search and rescue operation. (A bit long.)
- Leonardo: Goal assistance with divergent beliefs
(Videolectures
MOV,
Mirror, 3:31, 110.9MB)
Jesse Gray, Matt Berlin, & Cynthia Breazeal
Massachusetts Institute of Technology, USA
Nominations: Best Student, Best Demonstration
This demonstrates the robot Leonardo's ability to reason and act competently in
situations when the other (in this case, human) agents have different belief states.
- Color-based object recognition
(Videolectures
AVI,
Mirror, 2:53, 13.1MB)
Jan-Mark Greusebroek & Frank Seinstra
University of Amsterdam, Netherlands
Nominations: Most Visionary
This demonstrates a robodog that recognize
objects in a "fetch" task. The software runs
on a world-wide computing grid, distributing the computational
load over several beowolf clusters.
- Cosmo: The lifelike pedagogical agent
(Videolectures
MOV,
Mirror, 4:37, 81.2MB)
Arnav Jhala & Curtis Rawls
North Carolina State University, USA
Nominations: Best Explanation
This features Cosmo, the Internet Advisor, created
by NCSU's James Lester in the mid 90's. It presents Cosmo as an
example of a lifelike pedagogical agent that used AI
techniques to teach students interactively.
- NERO 2.0: Neuro-evolving robotic operatives
(Videolectures
MOV,
Mirror, 4:38 (black screen until 4:42, 83.9MB))
Igor Karpov & Thomas Nelson
University of Texas @ Austin, USA
Nominations: Best Student
This demonstrates the NERO real-time strategy game
and the capabilities of its agents. The technology involves
neuroevolution.
- Two-on-two robot soccer
(Videolectures
WMV,
Mirror, 0:59, 7.5MB)
Keyong Li, Oliver Purwin, & Raffaello D'Andrea
Cornell University, USA
Nominations: Best Short
A short demo of two-on-two robotic soccer, featuring
the Cornell team's legacy and current players/robots.
- Motion planning of multiple agents in virtual environments
(Videolectures
MPEG-4,
Mirror, 3:07, 32.2MB)
Yi Li & Kamal Gupta
Simon Fraser University, Canada
Describes and demonstrates in simulation the use of coordination
graphs to avoid collisions of multiple agents in tasks requiring motion of
multiple agents.
- Artificial intelligence: An instance of Aibo ingenuity
(Videolectures
MOV,
Mirror, 0:58, 3.8MB)
Michael Littman
Rutgers University, USA
Nominations: Best Short
This describes research related to using RL for, among
other tasks, learning behaviors for an Aibo robot.
- Robot swarm localization using trilateration
(Videolectures
WMV,
Mirror, 4:58, 33.9MB)
Paul Maxim & William Spears
University of Wyoming, USA
A description and demonstration of a robust approach for
ground robot formation movement behaviors.
- iAQ: A program that discovers rules
(Videolectures
MPEG,
Mirror, 5:57, 379.3MB)
Ryszard Michalski & Jarek Pietrzykowski
George Mason University
This video presents an entertaining program that
discovers rules from data and outputs them in the form
of English text and speech
- Mira the robot head
(Videolectures
WMV,
Mirror, 1:03, 14.0MB)
John Murray, Chris Rowan, Alan Yau, Mark Elshaw, & Stefan Wermter
University of Sunderland, England
A short video demonstrating the speech communication, reasoning abilities,
and humour of MIRA.
- The Centibots 100 Robot Project
(Videolectures
MPEG-4,
Mirror, 4:35, 65.3MB)
Charlie Ortiz & Regis Vincent
Stanford Research International, USA
Nominations: Best Video, Best Demonstration
The Centibots system was a multi-robotic system
developed in part by SRI. Its team of 100 small robots were built
from off-the-shelf components. This video describes the
distributed robot control software and subsequent
demonstration.
- MARQS: Media album retrieval by query sketch
(Videolectures
AVI,
Mirror, 0:59, 10.0MB)
Brandon Paulson & Tracy Hammond
Texas A&M University, USA
Nominations: Best Short
An advertisement-like short demo of a tool for retrieving
photos from an album by sketching.
- GMU BICA
(Videolectures
MOV,
Mirror, 4:48, 176.9MB)
Alexei V. Samsonovich, Kenneth A. De Jong, Giorgio A. Ascoli, & Mark A.Coletti
George Mason University, USA
This describes and demonstrates in simulation the
capabilities of an agent controlled by a biologically-inspired
cognitive architecture.
- Humanoids for autonomous operations
(Videolectures
WMV,
Mirror, 4:49, 48.2MB)
Adrian Stoica
NASA Jet Propulsion Laboratory, USA
Nominations: Best Video
The video describes a Humanoid robotics project at JPL.
- Interactive derivation viewer
(Videolectures
MOV,
Mirror, 4:59, 204.6MB)
Steven Trac
University of Miami, USA
Nominations: Best Explanation
This describes the IDV, a tool for graphically
rendering derivations that are written in the Thousands of
Problems for Theorem Provers (TPTP) language.
- Autonomous robot cleaning crew
(Videolectures
WMV,
Mirror, 2:57, 28.5MB)
John Vannoy & Jing Xiao
University of North Carolina @ Charlotte, USA
Nominations: Best Demonstration
De-centralized collaborative planning and
simulation demo for coordinating agent/robot tasks.
- How to say "No" to a robot
(Videolectures
AVI,
Mirror, 1:27, 17.8MB)
Hendrik Zender, Patric Jensfelt, & Oscar Martinez Mozos
DFKI, Germany; KTH, Sweden; & University of Freiburg, Germany
This describes an integrated
robotic system for spatial understanding and situated interaction
in indoor environments. Robot communication is performed
using only natural language, but sometimes it needs more
than a "natural" language to understand.