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Kent Koyanagi

dblp:81/9963 · 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 · 1Systems, architecture and hardware · 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 · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
programmable matter
0.112011
Making self-disassembling objects with multiple components in the Robot Pebbles system · ICRA 2011
Robotics › Robot manipulation › modular robot
self-reconfigurable robots
0.112011
Making self-disassembling objects with multiple components in the Robot Pebbles system · ICRA 2011

Methods — techniques the papers use, named apart from their topics

shape formation proof · 0.1distributed algorithm · 0.1
YearPublicationVenuePosition
2011 Making self-disassembling objects with multiple components in the Robot Pebbles system
abstract
This paper describes several novel algorithms for shape formation by subtraction in programmable matter systems. These algorithms allow the simultaneous formation of multiple different shapes from a single block of host material. The resulting shapes are allowed to intertwine in arbitrarily complex ways. We also present a proof that the algorithms operate correctly to form the desired shapes. Finally, we show experimental results from close to 100 trials using both the Robot Pebbles hardware and a unique software simulator. Multiple trials of several different experiments demonstrate the algorithms operating correctly.
Kyle Gilpin, Kent Koyanagi, Daniela Rus
ICRA2