Demo Data from SIGIR 2026 / reviewers in the wild / expert
Maxwell Herman
dblp:164/8521
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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 · 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 |
|---|---|---|---|---|
Robotics › Robot manipulation
grasping |
0.2 | 1 | 2015 | Soft robotic glove for hand rehabilitation and task specific training · ICRA 2015 |
Health and well-being technologies › rehabilitation technology
rehabilitation robotics |
0.2 | 1 | 2015 | Soft robotic glove for hand rehabilitation and task specific training · ICRA 2015 |
Health and well-being technologies › rehabilitation technology
soft robotic glove |
0.2 | 1 | 2015 | Soft robotic glove for hand rehabilitation and task specific training · ICRA 2015 |
Methods — techniques the papers use, named apart from their topics
soft actuator design · 0.4motion capture · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Soft robotic glove for hand rehabilitation and task specific trainingabstractThis paper presents advancements in the design of a portable, soft robotic glove for individuals with functional grasp pathologies. The robotic glove leverages soft material actuator technology to safely distribute forces along the length of the finger and provide active flexion and passive extension. These actuators consist of molded elastomeric bladders with anisotropic fiber reinforcements that produce specific bending, twisting, and extending trajectories upon fluid pressurization. In particular, we present a method for customizing a soft actuator to a wearer's biomechanics and demonstrate in a motion capture system that the ranges of motion (ROM) of the two are nearly equivalent. The active ROM of the glove is further evaluated using the Kapandji test. Lastly, in a case study, we present preliminary results of a patient with very weak hand strength performing a timed Box-and-Block test with and without the soft robotic glove. Panagiotis Polygerinos, Kevin C. Galloway, Emily Savage, Maxwell Herman, Kathleen O'Donnell, Conor J. Walsh |
ICRA | 4 |