Demo Data from VLDB 2026 / reviewers in the wild / expert
Oscar Lau
dblp:194/2876
· DBLP profile ↗
2ranked-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 · 2Systems, architecture and hardware · 2
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 · 87% Wearable and physiological sensing · 13% | |
| Artificial intelligence
1 paper |
Robot manipulation · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation
soft robotics |
0.3 | 1 | 2017 | A reconfigurable hybrid actuator with rigid and soft components · ICRA 2017 |
Health and well-being technologies › rehabilitation
hand rehabilitation |
0.3 | 1 | 2017 | A lobster-inspired robotic glove for hand rehabilitation · ICRA 2017 |
Health and well-being technologies › rehabilitation technology
soft robotic glove |
0.3 | 1 | 2017 | A lobster-inspired robotic glove for hand rehabilitation · ICRA 2017 |
Robotics › Robot manipulation
physical human-robot interaction |
0.1 | 1 | 2017 | A reconfigurable hybrid actuator with rigid and soft components · ICRA 2017 |
Wearable and physiological sensing › electromyography
surface electromyography |
0.1 | 1 | 2017 | A lobster-inspired robotic glove for hand rehabilitation · ICRA 2017 |
Methods — techniques the papers use, named apart from their topics
soft pneumatic actuation · 0.3sEMG pattern learning · 0.3rigid-soft hybrid actuation · 0.3bio-inspired design · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | A reconfigurable hybrid actuator with rigid and soft componentsabstractClassical rigid-bodied robotic systems are presented with proven success in theoretical development and industrial applications, are recently challenged by the emergence of soft robotics due to a growing need in physical human-robot interactions (pHRI), such as wearable devices, medical robots, personal robots, etc. In this paper, we present the design and fabrication of a robust, hybrid bending actuator build from both rigid and soft components inspired by crustaceans, where its bending radius and axis can be mechanically programmed through the selective activation of the rigid exterior joints, actuated by the soft actuators inside. The hybrid actuator was experimentally measured in terms of bending and force tests to demonstrate the utility of this design. Finally, a case study was presented to demonstrate its capacity to adapt to specific objects geometry, anticipating its potential application in situations where compliance is the priority. Yaohui Chen 0002, Sing Le, Qiao Chu Tan, Oscar Lau, Fang Wan 0002, Chaoyang Song 0001 |
ICRA | 4 |
| 2017 | A lobster-inspired robotic glove for hand rehabilitationabstractThis paper presents preliminary results of the design, development, and evaluation of a hand rehabilitation glove fabricated using lobster-inspired hybrid design with rigid and soft components for actuation. Inspired by the bending abdomen of lobsters, hybrid actuators are built with serially jointed rigid shells actuated by pressurized soft chambers inside to generate bending motions. Such bio-inspiration absorbs features from the classical rigid-bodied robotics with preciselydefined motion generation, as well as the emerging soft robotics with light-weight, physically safe, and adaptive actuation. The fabrication procedure is described, followed by experiments to mechanically characterize these actuators. Finally, an open-palm glove design integrated with these hybrid actuators are presented for a qualitative case study. A hand rehabilitation system is developed by learning patterns of the sEMG signals from the users forearm to train the assistive glove for hand rehabilitation exercises. Yaohui Chen 0002, Sing Le, Qiao Chu Tan, Oscar Lau, Fang Wan 0002, Chaoyang Song 0001 |
ICRA | 4 |