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Hui Wang 0068

dblp:39/721-68 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2011
—ORCID · conflict

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

Artificial intelligence and machine learning · 2 · 2 first-authorSystems, architecture and hardware · 2 · 2 first-author

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 navigation and mapping · 50% Reinforcement learning · 50%
Theoretical computer science
1 paper
Graph algorithms and graph theory · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Reinforcement learning
exploration
0.112011
The relative power of immovable markers in topological mapping · ICRA 2011
Robotics › Robot navigation and mapping › robot mapping
topological mapping
0.112011
The relative power of immovable markers in topological mapping · ICRA 2011
Graph algorithms and graph theory
graph exploration
0.012011
The relative power of immovable markers in topological mapping · ICRA 2011
Graph algorithms and graph theory › graph exploration
undirected graph exploration
0.012011
The relative power of immovable markers in topological mapping · ICRA 2011

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

asymptotic analysis · 0.2
YearPublicationVenuePosition
2011 The relative power of immovable markers in topological mapping
abstract
The fundamental problem in robotic exploration and mapping of an unknown environment is answering the question 'have I been here before?', which involves disambiguating the robot's current location from previously visited or known locations. One approach to answering this problem in embedded topological worlds is to resort to the use of an external aid that can help the robot disambiguate places. Here we investigate the power of different marker-based aids in exploring undirected topological graphs. We demonstrate that for undirected graphs, certain marker aids are insufficient, while others have powers that are sufficient to develop asymptotically optimal exploration algorithms.
Hui Wang 0068, Michael R. M. Jenkin, Patrick W. Dymond
ICRA1
2010 Using a string to map the world
abstract
Literature and folklore is rife with a range of oracles that have been used by explorers to explore unknown environments. But how effective are these various oracles? This paper considers the power of string and string-like oracles to map an unknown embedded topological environment. We demonstrate that for undirected graphs, even very short strings can be used to explore an unknown environment but that significant performance improvements can be found when longer strings are available.
Hui Wang 0068, Michael R. M. Jenkin, Patrick W. Dymond
IROS1