Demo Data from VLDB 2026 / reviewers in the wild / expert
Kent Koyanagi
dblp:81/9963
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation
programmable matter |
0.1 | 1 | 2011 | Making self-disassembling objects with multiple components in the Robot Pebbles system · ICRA 2011 |
Robotics › Robot manipulation › modular robot
self-reconfigurable robots |
0.1 | 1 | 2011 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Making self-disassembling objects with multiple components in the Robot Pebbles systemabstractThis 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 |
ICRA | 2 |