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Laci Jalics

dblp:26/58 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1997
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 first-authorSystems, architecture and hardware · 2 · 2 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
2 papers
Legged, aerial and field robots · 57% Motion planning and robot control · 43%

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 › legged robot locomotion
bipedal locomotion
0.021997
Pattern generation using coupled oscillators for robotic and biorobotic adaptive periodic movement · ICRA 1997
A control strategy for adaptive bipedal locomotion · ICRA 1996
Robotics › Motion planning and robot control
robot control
0.021997
Pattern generation using coupled oscillators for robotic and biorobotic adaptive periodic movement · ICRA 1997
A control strategy for adaptive bipedal locomotion · ICRA 1996
Robotics › Legged, aerial and field robots
gait generation
0.011997
Pattern generation using coupled oscillators for robotic and biorobotic adaptive periodic movement · ICRA 1997
Robotics › Motion planning and robot control › robot control
trajectory tracking
0.011997
Pattern generation using coupled oscillators for robotic and biorobotic adaptive periodic movement · ICRA 1997
Robotics › Legged, aerial and field robots › locomotion
adaptive locomotion
0.011996
A control strategy for adaptive bipedal locomotion · ICRA 1996

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

coupled oscillators · 0.0
YearPublicationVenuePosition
1997 Pattern generation using coupled oscillators for robotic and biorobotic adaptive periodic movement
abstract
In this study, a coupled pattern generator is used to achieve rhythmic gait movements by a planar five-link musculoskeletal biped model. In particular, five coupled oscillators are designed which provide the biped with the desired joint angles while a controller tracks the specified trajectories. The system is adaptive in that a high-level parameter controller can adjust the parameters of the pattern generator to change the frequency of the desired joint trajectories. Simulations show the biped walking while changing frequency of the gait as its joint angles track the pattern generator.
Laci Jalics, Hooshang Hemami, Yuan F. Zheng
ICRA1
1996 A control strategy for adaptive bipedal locomotion
abstract
Rhythmic movements of a five-link sagittal biped with muscle-like actuators are considered. In walking contact is periodically made with the environment as the support phases change. The inputs to every actuator are modeled after the inputs to muscles in mammals. The system possesses intrinsic position and velocity feedback due to the actuator dynamics. A control strategy is articulated that is novel in that (a) it is physiologically viable, (b) it simplifies the dynamics, and (c) it adapts to speed of walking, going up and down stairs, going up or dozen inclines, maneuvering above obstacles or holes, and the tempo and stride length of walking. Simulations of the walk of a five-link sagittal biped are presented.
Laci Jalics, Hooshang Hemami, Bradley D. Clymer
ICRA1