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J. G. Ketelaar

dblp:135/8423 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2013
—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 · 56% Robot manipulation · 28% Motion planning and robot control · 17%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › legged robots
bipedal walking
0.212013
Controller design for a bipedal walking robot using variable stiffness actuators · ICRA 2013
Robotics › Legged, aerial and field robots
legged robots
0.212013
Controller design for a bipedal walking robot using variable stiffness actuators · ICRA 2013
Robotics › Robot manipulation › actuator design › compliant actuator
variable stiffness actuation
0.212013
Controller design for a bipedal walking robot using variable stiffness actuators · ICRA 2013
Robotics › Motion planning and robot control › robot control › gait control
gait stabilization
0.012013
Controller design for a bipedal walking robot using variable stiffness actuators · ICRA 2013
Robotics › Motion planning and robot control
robot control
0.012013
Controller design for a bipedal walking robot using variable stiffness actuators · ICRA 2013

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

variable stiffness actuator · 0.2hierarchical control · 0.2V-SLIP model · 0.2
YearPublicationVenuePosition
2013 Controller design for a bipedal walking robot using variable stiffness actuators
abstract
The bipedal spring-loaded inverted pendulum (SLIP) model captures characteristic properties of human locomotion, and it is therefore often used to study human-like walking. The extended variable spring-loaded inverted pendulum (V-SLIP) model provides a control input for gait stabilization and shows robust and energy-efficient walking patterns. This work presents a control strategy that maps the conceptual V-SLIP model on a realistic model of a bipedal robot. This walker implements the variable leg compliance by means of variable stiffness actuators in the knees. The proposed controller consists of multiple levels, each level controlling the robot at a different level of abstraction. This allows the controller to control a simple dynamic structure at the top level and control the specific degrees of freedom of the robot at a lower level. The proposed controller is validated by both numeric simulations and preliminary experimental tests.
J. G. Ketelaar, Ludo C. Visser, Stefano Stramigioli, Raffaella Carloni
ICRA1