Demo Data from EDBT 2026 / reviewers in the wild / expert
Ciaran ONeill
dblp:416/5999
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 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.
| 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 › tactile sensing › contact sensing
contact detection |
0.9 | 1 | 2025 | Force Admittance Control of an Underactuated Gripper with Full-State Feedback · ICRA 2025 |
Robotics › Robot manipulation
grasping |
0.9 | 1 | 2025 | Force Admittance Control of an Underactuated Gripper with Full-State Feedback · ICRA 2025 |
Robotics › Robot manipulation › grasping
underactuated grasping |
0.9 | 1 | 2025 | Force Admittance Control of an Underactuated Gripper with Full-State Feedback · ICRA 2025 |
Robotics › Robot manipulation › grasping › underactuated grasping
underactuated gripper |
0.3 | 1 | 2025 | Force Admittance Control of an Underactuated Gripper with Full-State Feedback · ICRA 2025 |
Methods — techniques the papers use, named apart from their topics
pneumatic rolling diaphragm actuator · 0.9full state feedback · 0.9admittance control · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Force Admittance Control of an Underactuated Gripper with Full-State FeedbackabstractWe present admittance control and fingertip contact detection with a linkage gripper remotely driven by a pneumatic rolling diaphragm actuator. The gripper is driven by underactuated mechanisms sensorized by joint encoders in order to fully determine the gripper state. We present the modelling of the linkage and fluidic transmission, validate its ability to regulate pinch force via admittance control within an RMS error well under 0.5 Newtons, and show the ability to detect contact at targeted locations on the linkage. In addition, we demonstrate simple grasping behaviors: blindly searching for an unobstructed object and detecting object loss. Our results show that an integrative approach of instrumenting underactuated gripper mechanisms can result in a lightweight gripper that is not only mechanically adaptive but sensitive enough to react to contact events without distal sensors or vision. Zhi Ern Teoh, Ciaran ONeill, Lael Odhner, John Peter Whitney, Matthew A. Estrada |
ICRA | 4 |