Demo Data from EDBT 2026 / reviewers in the wild / expert
H. F. J. M. Koopman
dblp:13/5713
· DBLP profile ↗
4ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 4Systems, architecture and hardware · 2Human-computer interaction and ubiquitous computing · 1Applied, interdisciplinary, general and emerging computing · 1
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.
| Human-computer interaction and pervasive computing
1 paper |
Accessibility and assistive technology · 44% Human-robot interaction · 44% Health and well-being technologies · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction › physical human-robot interaction
admittance control |
0.3 | 1 | 2018 | Comparing Assistive Admittance Control Algorithms for a Trunk Supporting Exoskeleton · ICRA 2018 |
Accessibility and assistive technology › assistive technology
assistive exoskeleton |
0.3 | 1 | 2018 | Comparing Assistive Admittance Control Algorithms for a Trunk Supporting Exoskeleton · ICRA 2018 |
Health and well-being technologies › rehabilitation technology
rehabilitation robotics |
0.1 | 1 | 2018 | Comparing Assistive Admittance Control Algorithms for a Trunk Supporting Exoskeleton · ICRA 2018 |
Methods — techniques the papers use, named apart from their topics
variable admittance control · 0.3feedforward control · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Comparing Assistive Admittance Control Algorithms for a Trunk Supporting ExoskeletonabstractDuchenne muscular dystrophy leaves patients with severe dependency on health care. In an effort to increase independence and quality of life, active exoskeletons are developed to support activities of daily living. This study is dedicated to the development and assessment of three different admittance control algorithms for a trunk supporting robot; a law with constant parameters, a law with added feed-forward force, and a law with variable parameters. A Fitts'-like experiment with 12 healthy subjects was performed to compare the control laws. The results show decreased movement times for the feedforward and variable admittance controllers with respect to the standard admittance. Peter Gilius Van Lenthe, Stergios Verros, Edsko E. G. Hekman, Raffaella Carloni, H. F. J. M. Koopman |
ICRA | 5 |
| 2014 | The control of recycling energy strorage capacity for WalkMECHadaptabstractIn this study, we present the implementation of the controller for adapting the energy storage capacity of the WalkMECH according to the different walking speeds and gait characteristics of an amputee. Since the main aim is to keep the design both mechanically and metabolically energy-efficient, the actuation system is designed based on the minimal actuation principle. The overall system, called WalkMECHadapt, is evaluated with the experimental test set-up with a healthy subject. Test results show that the system is working sufficiently for adapting the energy storage capacity of the WalkMECHadapt thanks to the simple nature of the controller architecture. Ramazan Unal, F. Klijnstra, S. M. Behrens, Edsko E. G. Hekman, Stefano Stramigioli, H. F. J. M. Koopman, Raffaella Carloni |
RO-MAN | 6 |
| 2010 | Conceptual design of an energy efficient transfemoral prosthesisabstractIn this study, we present the conceptual design of a fully-passive transfemoral prosthesis. The design is inspired by the power flow in human gait in order to have an energy efficient device. The working principle of the conceptual mechanism is based on three storage elements, which are responsible of the energetic coupling between the knee and the ankle joints. Design parameters of the prosthesis have been determined according to the energy absorption intervals of the human gait. Simulation results shows that the power flow of the system is comparable with human data. Finally, an initial prototype is presented as proof of concept. Ramazan Unal, Raffaella Carloni, Edsko E. G. Hekman, Stefano Stramigioli, H. F. J. M. Koopman |
IROS | 5 |
| 2006 | Energy efficient and robust rhythmic limb movement by central pattern generators
B. W. Verdaasdonk, H. F. J. M. Koopman, Frans C. T. van der Helm |
Neural Networks | 2 |