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
Demo Data from EDBT 2026 / reviewers in the wild / expert

Teja Muppirala

dblp:96/5959 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2005
—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-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
Motion planning and robot control · 67% Robot navigation and mapping · 33%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
motion planning		 0.112005
Optimal Motion Strategies Based on Critical Events to Maintain Visibility of a Moving Target · ICRA 2005
Robotics › Robot navigation and mapping
target tracking		 0.112005
Optimal Motion Strategies Based on Critical Events to Maintain Visibility of a Moving Target · ICRA 2005
Robotics › Motion planning and robot control › motion planning › perception-aware planning
visibility maintenance		 0.112005
Optimal Motion Strategies Based on Critical Events to Maintain Visibility of a Moving Target · ICRA 2005

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

visibility constraints · 0.1critical events · 0.1
YearPublicationVenuePosition
2005 Optimal Motion Strategies Based on Critical Events to Maintain Visibility of a Moving Target
abstract
In this paper, we consider the surveillance problem of maintaining visibility at a fixed distance of a mobile evader using a mobile robot equipped with sensors. Optimal motion for the target to escape is found. Symmetrically, an optimal motion strategy for the observer to always maintain visibility of the evader is determined. The optimal motion strategies proposed in this paper are based on critical events. The critical events are defined with respect to the obstacles in the environment.
Teja Muppirala, Rafael Murrieta-Cid, Seth Hutchinson 0001
 ICRA1