Demo Data from SIGIR 2026 / reviewers in the wild / expert
Julia Läderach
dblp:341/0209
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
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 |
Human-robot interaction · 100% | |
| Artificial intelligence
1 paper |
Robot manipulation · 100% |
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 |
0.7 | 1 | 2023 | Human-Robot Attachment System for Exoskeletons: Design and Performance Analysis · IEEE Trans. Robotics 2023 |
Robotics › Robot manipulation
grasping, dexterous and mobile manipulation |
0.2 | 1 | 2023 | Human-Robot Attachment System for Exoskeletons: Design and Performance Analysis · IEEE Trans. Robotics 2023 |
Robotics › Robot manipulation › wearable robotics › exoskeleton
upper-limb exoskeleton |
0.2 | 1 | 2023 | Human-Robot Attachment System for Exoskeletons: Design and Performance Analysis · IEEE Trans. Robotics 2023 |
Methods — techniques the papers use, named apart from their topics
force control · 1.3case study · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Human-Robot Attachment System for Exoskeletons: Design and Performance AnalysisabstractExoskeleton robots found application in neurorehabilitation, telemanipulation, and power augmentation. The human–robot attachment system of an exoskeleton should transmit all the interaction forces while keeping the anatomical and robotic joint axes aligned. Existing attachment concepts were bounding the performance of modern exoskeletons due to insufficient stiffness for high-performance force control, time-consuming adaption processes, and/or bulkiness. Therefore, we developed an augmented attachment system for a recent fully actuated nine-degree-of-freedom upper limb exoskeleton. The proposed system was compared to a conventional solution in a case study with four participants. The proposed attachment system lowered the relative motion between the human and the robot under static loads for all defined landmarks by 45% on average. The occurrence of undesired contacts in the trials was mitigated by 74%, thus improving conditions for closed-loop force control. Furthermore, the proposed system adapted better to the user's anatomy facilitating more accurate alignment and less obstruction. On average, self-attachment took$\mathbf {43(8.3)}$$\mathrm{s}$to don(doff). Thereby, the alignment of anatomic landmarks had typically less than 15 mm offset to a thorough expert alignment, making self-attachment eligible. The augmented attachment system and the insights gained by the case study are expected to enable improvement of the physical human–robot interaction of exoskeletons. Yves Zimmermann, Jaeyong Song 0001, Cédric Deguelle, Julia Läderach, Lingfei Zhou, Marco Hutter 0001, Robert Riener, Peter Wolf 0001 |
IEEE Trans. Robotics | 4 |