Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Wei-Tao Li

dblp:203/5191 · DBLP profile ↗
← Back
2ranked-venue papers
1as first author
0since 2021 · last 2017
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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
Motion planning and robot control · 67% Robot navigation and mapping · 33%
Computer networks
1 paper
Internet of things and sensor networks · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping
coverage control
0.312017
Dynamic coverage control for mobile robot network with limited and nonidentical sensory ranges · ICRA 2017
Robotics › Motion planning and robot control › multi-robot control
distributed robot control
0.312017
Dynamic coverage control for mobile robot network with limited and nonidentical sensory ranges · ICRA 2017
Robotics › Motion planning and robot control › path planning › coverage path planning
multi-robot coverage
0.312017
Dynamic coverage control for mobile robot network with limited and nonidentical sensory ranges · ICRA 2017
Internet of things and sensor networks
sensing coverage
0.112017
Dynamic coverage control for mobile robot network with limited and nonidentical sensory ranges · ICRA 2017

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

voronoi partitioning · 0.6dynamic coverage control · 0.6
YearPublicationVenuePosition
2017 Dynamic coverage control for mobile robot network with limited and nonidentical sensory ranges
abstract
The coverage control problem for multiple mobile robot system with limited and dissimilar sensing abilities is addressed in this article. There exist missing areas while taking the previously developed r-limited Voronoi partitions due to distinct sensing ranges. Thus, a modified partitioning approach is proposed to enhance coverage performance. Furthermore, the dynamic coverage controllers are developed with time-varying density function so that the system is more applicable to various tasks such as target tracking or information decays. In addition to theoretical analysis, numerical examples and experiments with four mobile robots are conducted to verify stability and coverage performance of mobile robot network utilizing the proposed coverage partition algorithm.
Wei-Tao Li, Yen-Chen Liu
ICRA1
2006 Fault Tolerant Recognition Method of Handwritten Chinese Characters Based on Double Weights Elliptical Neuron
Wei-Tao Li
ICIC (1)2