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Oussama Ben Farah

dblp:164/8546 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2015
—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 manipulation · 100%
Human-computer interaction and pervasive computing
1 paper
Health and well-being technologies · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › medical robotics
rehabilitation robotics
0.212015
Power analysis of a series elastic actuator for ankle joint gait rehabilitation · ICRA 2015
Robotics › Robot manipulation › actuator design › compliant actuator
series elastic actuator
0.212015
Power analysis of a series elastic actuator for ankle joint gait rehabilitation · ICRA 2015
Health and well-being technologies › rehabilitation technology › rehabilitation robotics
ankle rehabilitation
0.112015
Power analysis of a series elastic actuator for ankle joint gait rehabilitation · ICRA 2015
Health and well-being technologies › rehabilitation technology › rehabilitation robotics
gait rehabilitation
0.112015
Power analysis of a series elastic actuator for ankle joint gait rehabilitation · ICRA 2015

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

stiffness optimization · 0.4simulation · 0.4power analysis · 0.4
YearPublicationVenuePosition
2015 Power analysis of a series elastic actuator for ankle joint gait rehabilitation
abstract
Series elastic actuator (SEA) has been widely used in rehabilitation robotics, where human-robot interaction is required. Due to its intrinsic compliance, SEA can improve the usage of power for its motor, which leads to a compact and lightweight SEA design. The aim of this paper is to reduce the energy consumption and the power requirements of the motor of the SEA by optimizing the stiffness of its spring. This study is inspired by the biomechanics of a human ankle joint, which stores elastic energy during the first phases of the walking process and releases the stored energy in the next gait phases to propel the human body forward. Power analysis and optimization procedure are conducted on complete SEA models with different complexity, including inertia, damping and stiffness, and with open loop and closed loop control strategies. Simulation results demonstrate that a reduction of 56.6% of the peak motor power can be achieved with the optimized spring stiffness.
Oussama Ben Farah, Zhao Guo, Chi Zhu 0001, Haoyong Yu
ICRA1