Demo Data from SIGIR 2026 / reviewers in the wild / expert
Kelvin Chau
dblp:59/5924
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none
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 · 88% Motion planning and robot control · 12% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation › robot design › manipulator design
end-effector design |
0.1 | 1 | 2009 | Exoskeletal Force-Sensing End-Effectors With Embedded Optical Fiber-Bragg-Grating Sensors · IEEE Trans. Robotics 2009 |
Robotics › Robot manipulation
force sensing |
0.1 | 1 | 2009 | Exoskeletal Force-Sensing End-Effectors With Embedded Optical Fiber-Bragg-Grating Sensors · IEEE Trans. Robotics 2009 |
Robotics › Motion planning and robot control › robot control › contact control › contact task control › robot force control
contact force control |
0.0 | 1 | 2009 | Exoskeletal Force-Sensing End-Effectors With Embedded Optical Fiber-Bragg-Grating Sensors · IEEE Trans. Robotics 2009 |
Robotics › Robot manipulation › grasping
multifingered hand |
0.0 | 1 | 2009 | Exoskeletal Force-Sensing End-Effectors With Embedded Optical Fiber-Bragg-Grating Sensors · IEEE Trans. Robotics 2009 |
Methods — techniques the papers use, named apart from their topics
multi-material fabrication · 0.1fiber-bragg-grating interrogation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Exoskeletal Force-Sensing End-Effectors With Embedded Optical Fiber-Bragg-Grating SensorsabstractForce sensing is an essential requirement for dexterous robot manipulation. We describe composite robot end-effectors that incorporate optical fibers for accurate force sensing and estimation of contact locations. The design is inspired by the sensors in arthropod exoskeletons that allow them to detect contacts and loads on their limbs. In this paper, we present a fabrication process that allows us to create hollow multimaterial structures with embedded fibers and the results of experiments to characterize the sensors and controlling contact forces in a system involving an industrial robot and a two-fingered dexterous hand. We also briefly describe the optical-interrogation method used to measure multiple sensors along a single fiber at kilohertz rates for closed-loop force control. Yong-Lae Park, Seok Chang Ryu, Richard J. Black, Kelvin Chau, Behzad Moslehi, Mark R. Cutkosky |
IEEE Trans. Robotics | 4 |
| 2007 | Force Sensing Robot Fingers using Embedded Fiber Bragg Grating Sensors and Shape Deposition ManufacturingabstractForce sensing is an essential requirement for dexterous robot manipulation. Although strain gages have been widely used, a new sensing approach is desirable for applications that require greater robustness, design flexibility and immunity to electromagnetic noise. An exoskeletal force sensing robot finger was developed by embedding fiber Bragg grating (FBG) sensors into a polymer-based structure. Multiple FBG sensors were embedded into the structure to allow the manipulator to sense and measure both contact forces and grasping forces. In order to fabricate a three-dimensional structure, a new shape deposition manufacturing (SDM) process was explored. The sensorized SDM-fabricated finger was then characterized using an FBG interrogator. A force localization scheme is also described Yong-Lae Park, Kelvin Chau, Richard J. Black, Mark R. Cutkosky |
ICRA | 2 |