Demo Data from EDBT 2026 / reviewers in the wild / expert
Ciarán T. O'Neill
dblp:208/1598 · also Ciarán Tomás O'Neill
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0001-6902-9985ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Applied, interdisciplinary, general and emerging computing · 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 · 87% Legged, aerial and field robots · 13% | |
| Human-computer interaction and pervasive computing
1 paper |
Accessibility and assistive technology · 44% Health and well-being technologies · 44% Human-robot interaction · 13% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation › actuation
artificial muscle |
0.4 | 1 | 2019 | Robotic Artificial Muscles: Current Progress and Future Perspectives · IEEE Trans. Robotics 2019 |
Robotics › Robot manipulation › robot actuation
robot actuator |
0.4 | 1 | 2019 | Robotic Artificial Muscles: Current Progress and Future Perspectives · IEEE Trans. Robotics 2019 |
Accessibility and assistive technology
assistive technology |
0.4 | 1 | 2019 | Soft Robotic Glove with Integrated Sensing for Intuitive Grasping Assistance Post Spinal Cord Injury · ICRA 2019 |
Health and well-being technologies › rehabilitation technology
soft robotic glove |
0.4 | 1 | 2019 | Soft Robotic Glove with Integrated Sensing for Intuitive Grasping Assistance Post Spinal Cord Injury · ICRA 2019 |
Robotics › Legged, aerial and field robots
bio-inspired robot |
0.1 | 1 | 2019 | Robotic Artificial Muscles: Current Progress and Future Perspectives · IEEE Trans. Robotics 2019 |
Methods — techniques the papers use, named apart from their topics
state machine intent detection · 0.4shape memory alloy · 0.4dielectric elastomers · 0.4capacitive sensing · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Soft Robotic Glove with Integrated Sensing for Intuitive Grasping Assistance Post Spinal Cord InjuryabstractThis paper presents a fully-integrated soft robotic glove with multi-articular textile actuators, custom soft sensors, and an intuitive state machine intent detection controller. We demonstrate that the pressurized actuators can generate motion and force comparable to natural human fingers through bench-top testing. We apply textile-elastomer capacitive sensors to the glove to track finger flexion via strain and detect contact with objects via force. Intuitive user control is achieved via a state machine controller based on signals from the integrated sensors to detect relative changes in hand-object interactions. Results from an initial evaluation with 3 participants with spinal cord injury (SCI), of varied injury levels and years since injury, wearing and controlling the glove show an average of 87% improvement in grasping force, and improvements in functional assessments for participants with recent injuries. A significant variation in response suggests further investigation is required to understand the adaptation needed across different injury levels and durations since injury. Additionally, we evaluate the controller and find an average of 3 seconds from user initiations to completed grasps, and 10% inadvertent grasp triggers and no false releases when objects are held. Yu Meng Zhou, Diana Wagner, Kristin Nuckols, Roman Heimgartner, Carolina Correia, Megan E. Clarke, Dorothy Orzel, Ciarán T. O'Neill, Ryan Solinsky, Sabrina Paganoni, Conor J. Walsh |
ICRA | 8 |
| 2019 | Robotic Artificial Muscles: Current Progress and Future PerspectivesabstractRobotic artificial muscles are a subset of artificial muscles that are capable of producing biologically inspired motions useful for robot systems, i.e., large power-to-weight ratios, inherent compliance, and large range of motions. These actuators, ranging from shape memory alloys to dielectric elastomers, are increasingly popular for biomimetic robots as they may operate without using complex linkage designs or other cumbersome mechanisms. Recent achievements in fabrication, modeling, and control methods have significantly contributed to their potential utilization in a wide range of applications. However, no survey paper has gone into depth regarding considerations pertaining to their selection, design, and usage in generating biomimetic motions. In this paper, we discuss important characteristics and considerations in the selection, design, and implementation of various prominent and unique robotic artificial muscles for biomimetic robots, and provide perspectives on next-generation muscle-powered robots. Jun Zhang 0025, Jun Sheng, Ciarán T. O'Neill, Conor J. Walsh, Robert J. Wood, Jee-Hwan Ryu, Jaydev P. Desai, Michael C. Yip |
IEEE Trans. Robotics | 3 |