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 SIGIR 2026 / reviewers in the wild / expert

Danilo Ciancitto

dblp:19/450 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2004
—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
Legged, aerial and field robots · 50% Motion planning and robot control · 50%

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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
field robotics		 0.012004
Experimental Results on a Traction Control Algorithm for Mobile Robots in Volcano Environment · ICRA 2004
Robotics › Motion planning and robot control › mobile robot control
traction control		 0.012004
Experimental Results on a Traction Control Algorithm for Mobile Robots in Volcano Environment · ICRA 2004

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

wheel slip estimation · 0.0simulation · 0.0PI control · 0.0
YearPublicationVenuePosition
2004 Experimental Results on a Traction Control Algorithm for Mobile Robots in Volcano Environment
abstract
In this paper a traction control algorithm for mobile robots in outdoor environment is presented. The algorithm using a wheel slip estimator optimizes the traction in sandy terrains like those found near some volcanic vents. Some comparative tests with a PI control using a simulator show the adherence improvements. In order to analyze the algorithm efficiency in real conditions, several comparative tests have been executed on the P6W robot: a small robot with six independently actuated wheels.
Daniele Caltabiano, Danilo Ciancitto, Giovanni Muscato
 ICRA2