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Korhan Turker

dblp:116/6469 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2012
—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
Legged, aerial and field robots · 67% Motion planning and robot control · 33%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
locomotion control
0.112012
Step negotiation with wheel traction: a strategy for a wheel-legged robot · ICRA 2012
Robotics › Legged, aerial and field robots › legged robots
step climbing
0.112012
Step negotiation with wheel traction: a strategy for a wheel-legged robot · ICRA 2012
Robotics › Legged, aerial and field robots
wheel-legged robot
0.112012
Step negotiation with wheel traction: a strategy for a wheel-legged robot · ICRA 2012

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

wheel traction control · 0.1state machine · 0.1
YearPublicationVenuePosition
2012 Step negotiation with wheel traction: a strategy for a wheel-legged robot
abstract
This paper presents a quasi-static step climbing behaviour for a minimal sensing wheel-legged quadruped robot called PAW. In the quasi-static climbing maneuver, the robot benefits from wheel traction and uses its legs to reconfigure itself with respect to the step during the climb. The control methodology with the corresponding controller parameters is determined and the state machine for the maneuver is developed. With this controller, PAW is able to climb steps higher than its body clearance. Furthermore, any step height up to this maximum achievable height can be negotiated autonomously with a single set of controller parameters, without knowledge of the step height or distance to the step.
Korhan Turker, Inna Sharf, Michael Trentini
ICRA1