Demo Data from VLDB 2026 / reviewers in the wild / expert
Martin Y. Y. Leung
dblp:99/3112
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2003
—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.
| Human-computer interaction and pervasive computing
1 paper |
Interaction techniques and input · 100% | |
| Artificial intelligence
1 paper |
Robot manipulation · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation › robotic hand
robotic hand control |
0.0 | 1 | 2003 | Motion sensing for robot hands using MIDS · ICRA 2003 |
Methods — techniques the papers use, named apart from their topics
impedance control · 0.1PD adaptive control · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | Motion sensing for robot hands using MIDSabstractA novel computer input system-the Micro Input Devices System (MIDS)-is under development by merging MEMS sensors and existing wireless technologies. This system could potentially replace the functions of the mouse, pen, and keyboard as input devices to the computer. The system could also be used as a general wireless 3D motion sensing device. In this paper, we will present our work on using MIDS for motion sensing application of robot hands. MIDS is used to evaluate the performance of PD adaptive control and Impedance control schemes in manipulating a five-fingered robot hand and in manipulating this hand to grasp a ball. Experimental results indicate that MIDS is capable of obtaining real-time 3D acceleration/vibration data wirelessly for the robotic hand, hence eliminating the need to perform the time-consuming integration of the position sensor data to obtain acceleration. Moreover, our initial results also indicate that further exploration of this technology could eventually produce a new control-input device for robotic grasping manipulators. These results are presented in this paper. Alan H. F. Lam, Raymond H. W. Lam, Wen Jung Li, Martin Y. Y. Leung, Yun-Hui Liu 0001 |
ICRA | 4 |