Demo Data from VLDB 2026 / reviewers in the wild / expert
John Atkins
dblp:83/4010
· DBLP profile ↗
3ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021Software engineering, systems software and programming languages · 1Theory of computation · 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.
| Human-computer interaction and pervasive computing
1 paper |
Health and well-being technologies · 100% | |
| Artificial intelligence
1 paper |
Robot manipulation · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Health and well-being technologies › rehabilitation technology
exoskeleton robot |
0.5 | 1 | 2021 | Validation of a Novel Parallel-Actuated Shoulder Exoskeleton Robot for the Characterization of Human Shoulder Impedance · ICRA 2021 |
Robotics › Robot manipulation
parallel manipulator |
0.1 | 1 | 2021 | Validation of a Novel Parallel-Actuated Shoulder Exoskeleton Robot for the Characterization of Human Shoulder Impedance · ICRA 2021 |
Methods — techniques the papers use, named apart from their topics
perturbation-based impedance estimation · 1.04-bar spherical parallel manipulator · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Validation of a Novel Parallel-Actuated Shoulder Exoskeleton Robot for the Characterization of Human Shoulder ImpedanceabstractThis study validates the effectiveness of a recently developed parallel-actuated shoulder exoskeleton robot for the purpose of characterizing the neuromuscular properties of the human shoulder joint. In particular, shoulder mechanical impedance was quantified, which can be represented by a 2ndorder system consisting of spring, damper and inertia. The shoulder exoskeleton robot, which utilizes a new type of 4-bar spherical parallel manipulator (4B-SPM), has inherently low inertia and as a result can provide fast perturbations that are often essential for characterizing neuromuscular properties. The robot was first evaluated by using a physical shoulder mockup with adjustable and known spring and mass properties. The results of the mockup test confirmed the reliability of the robot for the characterization of the mockup properties. Stiffness of the tested springs was accurately quantified with an error of less than 1.6 Nm/rad in any of the tested conditions. A pilot study with 5 human subjects further confirmed that the robot could be successfully used to quantify multi-dimensional human shoulder impedance in both pitch and yaw directions with high reliability (R2> 0.97). The average human shoulder stiffness and damping at around the neutral arm posture under low muscle activation (< 5% maximum voluntary contraction) were 30.9 Nm/rad and 3.0 Nms/rad, respectively. Dongjune Chang, Justin Hunt, John Atkins, Hyunglae Lee |
ICRA | 3 |
| 1999 | On the Intractability of Protein Folding with a Finite Alphabet of Amino Acids
John Atkins, William E. Hart |
Algorithmica | 1 |
| 1990 | Design of a Lattice-Based Faceted Classification System
David Eichmann, John Atkins |
SEKE | 2 |