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Jerod Sikorskyj

dblp:12/9922 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Robot manipulation · 62% Planning, search and constraint satisfaction · 38%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › game playing
chess		 0.012011
Lego Plays Chess: A Low-Cost, Low-Complexity Approach to Intelligent Robotics · AAAI 2011
Knowledge, reasoning and agents › Planning, search and constraint satisfaction
game playing		 0.012011
Lego Plays Chess: A Low-Cost, Low-Complexity Approach to Intelligent Robotics · AAAI 2011
YearPublicationVenuePosition
2011 Lego Plays Chess: A Low-Cost, Low-Complexity Approach to Intelligent Robotics
abstract
The design and implementation of a robotic chess agent is described. Shallow Blue, a competitor in the AAAI 2011 Small Scale Manipulation Challenge, is constructed with low-cost components including Lego NXT bricks and is programmed using Java and Lejos.
Michael Lanighan, Jerod Sikorskyj, Debra T. Burhans, Robert Selkowitz
 AAAI2