VLDB 2026 Research / reviewers in the wild / expert
Edwin van Asseldonk
dblp:04/10289 · also Edwin H. F. van Asseldonk
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2016
0000-0003-1534-2348ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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 |
Health and well-being technologies · 87% Wearable and physiological sensing · 13% | |
| Artificial intelligence
1 paper |
Robot manipulation · 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
human-robot interaction |
0.2 | 1 | 2016 | Estimation of Human Hip and Knee Multi-Joint Dynamics Using the LOPES Gait Trainer · IEEE Trans. Robotics 2016 |
Health and well-being technologies › rehabilitation technology › rehabilitation robotics
gait rehabilitation |
0.2 | 1 | 2016 | Estimation of Human Hip and Knee Multi-Joint Dynamics Using the LOPES Gait Trainer · IEEE Trans. Robotics 2016 |
Health and well-being technologies › rehabilitation technology
rehabilitation robotics |
0.2 | 1 | 2016 | Estimation of Human Hip and Knee Multi-Joint Dynamics Using the LOPES Gait Trainer · IEEE Trans. Robotics 2016 |
Wearable and physiological sensing
biomechanical sensing |
0.1 | 1 | 2016 | Estimation of Human Hip and Knee Multi-Joint Dynamics Using the LOPES Gait Trainer · IEEE Trans. Robotics 2016 |
Methods — techniques the papers use, named apart from their topics
system identification · 0.5MIMO identification · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Estimation of Human Hip and Knee Multi-Joint Dynamics Using the LOPES Gait TrainerabstractIn this study, we present and evaluate a novel method to estimate multi-joint leg impedance, using a robotic gait training device. The method is based on multi-input-multi-output system identification techniques and is designed for continuous torque perturbations at the hip and knee joint simultaneously. Eight elderly subjects (age 67-82) performed relax and position tasks in three different leg orientations. Multi-joint impedance was estimated nonparametrically and was subsequently modeled in terms of inertia and (inter)joint stiffness and damping. The results indicate that all stiffness and damping parameters were significantly higher during the position task compared to the relax task. The majority of the stiffness and damping parameters were not significantly affected by leg orientation. The results also emphasize the importance of considering the visco-elastic coupling between joints when modeling multi-joint dynamics. Measuring joint stiffness with the same device that is used for robotic gait training allows convenient testing of joint properties in conjunction with the robotic gait training protocol. These measures might serve as a good basis for quantitative assessment and follow up of patients with abnormal joint stiffness due to neurological disorders, and may reveal how changes in these joint properties affect their gait function. Bram Koopman, Edwin van Asseldonk, Herman van der Kooij |
IEEE Trans. Robotics | 2 |
| 2013 | Actively controlled lateral gait assistance in a lower limb exoskeletonabstractVarious powered wearable lower limb exoskeletons are designed for paraplegics to make them walk again. Control methods are developed and implemented in these exoskeletons to provide active gait assistance in the sagittal plane while active control in the frontal plane is still missing. This paper proposed a control method that provided gait assistance in both lateral and sagittal plane. First, in the lateral plane, the exoskeleton was controlled to support the weight shift during stepping by providing assisting hip ab/adduction torques when the subject initiated a small amount of weight shift to the stance side to trigger a step. Second, the exoskeleton's hip ab/adduction during stepping was controlled to improve lateral stability. This was achieved by altering the amount of hip ab/adduction to change step width at heel strike. Using these controls, an able-bodied subject could walk in the exoskeleton without any external balance aids, i.e. crutches or a walker, where his hip and knee joints were controlled by the exoskeleton and his ankle joints were constrained by the exoskeleton. The next step is to test whether the proposed method improves balance in spinal cord injured subjects. Shiqian Wang, Edwin van Asseldonk, Herman van der Kooij |
IROS | 3 |