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Robert Pagnot

dblp:68/395 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1995
—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
Robot navigation and mapping · 75% 3D vision · 25%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping
obstacle detection
0.011995
Fast Cross-Country Navigation on Fair Terrains · ICRA 1995
Robotics › Robot navigation and mapping › mobile robot navigation
off-road navigation
0.011995
Fast Cross-Country Navigation on Fair Terrains · ICRA 1995
Computer vision › 3D vision › range sensing › depth sensing
range image
0.011995
Fast Cross-Country Navigation on Fair Terrains · ICRA 1995
Robotics › Robot navigation and mapping › mobile robot navigation
terrain traversal
0.011995
Fast Cross-Country Navigation on Fair Terrains · ICRA 1995
YearPublicationVenuePosition
1995 Fast Cross-Country Navigation on Fair Terrains
abstract
The cross-country navigation approach presented in this paper relies on two simplification ideas: obstacles are defected by scanning columns of a range image and motion steps are single straight-line trajectories. The resulting system is fast and only prohibits steep slopes or cluttered terrains. It also features a sophisticated planning criterion that yields good global performances. Its reliability has been demonstrated by successful outdoor traverses 70 meters long on a representative test site.
Robert Pagnot, Pierrick Grandjean
ICRA1