Demo Data from VLDB 2026 / reviewers in the wild / expert
Oussama Ben Farah
dblp:164/8546
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation › medical robotics
rehabilitation robotics |
0.2 | 1 | 2015 | Power analysis of a series elastic actuator for ankle joint gait rehabilitation · ICRA 2015 |
Robotics › Robot manipulation › actuator design › compliant actuator
series elastic actuator |
0.2 | 1 | 2015 | 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 |
0.1 | 1 | 2015 | 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 |
0.1 | 1 | 2015 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Power analysis of a series elastic actuator for ankle joint gait rehabilitationabstractSeries 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 |
ICRA | 1 |