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Laurence Roussel

dblp:29/828 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1998
—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 · 50% Motion planning and robot control · 50%

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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › legged robots
biped robot		 0.011998
Generation of Energy Optimal Complete Gait Cycles for Biped Robots · ICRA 1998
Robotics › Legged, aerial and field robots
gait generation		 0.011998
Generation of Energy Optimal Complete Gait Cycles for Biped Robots · ICRA 1998
Robotics › Motion planning and robot control › trajectory optimization
minimum-energy trajectory		 0.011998
Generation of Energy Optimal Complete Gait Cycles for Biped Robots · ICRA 1998
Robotics › Motion planning and robot control
trajectory optimization		 0.011998
Generation of Energy Optimal Complete Gait Cycles for Biped Robots · ICRA 1998

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

simplified robot dynamics · 0.0piecewise-constant inputs · 0.0
YearPublicationVenuePosition
1998 Generation of Energy Optimal Complete Gait Cycles for Biped Robots
abstract
We address the problem of energy optimal gait generation for biped robots. Using a simplified robot dynamics that ignores the effects of centripetal forces, we obtain unconstrained optimal trajectories generated by piecewise constant inputs. The study a complete gait cycle comprising single support, double support and the transition phases. The energy optimal gaits for different step lengths and velocities are compared with natural human gait.
Laurence Roussel, Carlos Canudas-de-Wit, Ambarish Goswami
 ICRA1