Demo Data from VLDB 2026 / reviewers in the wild / expert
Le Dinh Phong
dblp:117/2251
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author
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 |
Motion planning and robot control · 87% Robot manipulation · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › robot control
external force estimation |
0.1 | 1 | 2012 | External force estimation using joint torque sensors for a robot manipulator · ICRA 2012 |
Robotics › Motion planning and robot control
robot control |
0.1 | 1 | 2012 | External force estimation using joint torque sensors for a robot manipulator · ICRA 2012 |
Robotics › Robot manipulation › force sensing
joint torque sensing |
0.0 | 1 | 2012 | External force estimation using joint torque sensors for a robot manipulator · ICRA 2012 |
Methods — techniques the papers use, named apart from their topics
time-delay estimation · 0.1kalman filtering · 0.1input estimation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | External force estimation using joint torque sensors for a robot manipulatorabstractThis paper proposes an algorithm to estimate external forces exerted on the end-effector of a robot manipulator using information from joint torque sensors (JTS). The algorithm is combination of Time Delay Estimation (TDE) and input estimation technique where the external force is considered as an unknown input to the robot manipulator. Based on TDE's idea, the estimator which does not require an accurate dynamics model of the robot manipulator is developed. The simultaneous input and state estimation is used to reject not only nonlinear uncertainties of the robot dynamics but also the noise of measurements. The performance of the proposed estimation algorithm is evaluated through simulation of a two degree-of-freedom manipulator and it demonstrates the stability in estimating the external forces. The estimation results show that this approach allows inexpensive sensors as joint torque sensors to be used instead of expensive ones as F/T sensors in robot application. Le Dinh Phong, Sungchul Kang |
ICRA | 1 |