Demo Data from EDBT 2026 / reviewers in the wild / expert
Peter M. Kjeer
dblp:203/4567
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none
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.
| 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 › actuator design
pneumatic actuation |
0.3 | 1 | 2017 | Tunable friction through constrained inflation of an elastomeric membrane · ICRA 2017 |
Robotics › Robot manipulation
soft robotics |
0.3 | 1 | 2017 | Tunable friction through constrained inflation of an elastomeric membrane · ICRA 2017 |
Robotics › Robot manipulation › grasping
soft gripper |
0.1 | 1 | 2017 | Tunable friction through constrained inflation of an elastomeric membrane · ICRA 2017 |
Methods — techniques the papers use, named apart from their topics
pneumatic actuation · 0.3force characterization · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Tunable friction through constrained inflation of an elastomeric membraneabstractMany areas of robotics, particularly locomotion and grasping, can benefit from the ability to modulate friction on surfaces that come into contact with objects in the environment. Previous research has tried to address the challenge of tunable friction; however, those efforts only provide modest gains or are difficult to integrate. We propose a tunable friction mechanism that relies on pneumatic actuation and is easily integrated into pre-existing soft actuators. We characterize the performance of our friction mechanism with quantitative force data for varying preload forces, substrate materials, and inflation pressures. Testing results show that our tunable friction mechanism achieves an order of magnitude differentiation in friction forces between high and low friction states. We demonstrate its potential application in a one degree-of-freedom soft crawler and a soft gripper with actuatable finger friction pads. The crawler successfully propelled itself forward by leveraging asymmetric strokes and the gripper achieved a factor of five differentiation of grip force between engaged and disengaged states of the friction tuning mechanism. Kaitlyn P. Becker, Nicholas W. Bartlett, Melinda J. D. Malley, Peter M. Kjeer, Robert J. Wood |
ICRA | 4 |