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Le Dinh Phong

dblp:117/2251 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
external force estimation
0.112012
External force estimation using joint torque sensors for a robot manipulator · ICRA 2012
Robotics › Motion planning and robot control
robot control
0.112012
External force estimation using joint torque sensors for a robot manipulator · ICRA 2012
Robotics › Robot manipulation › force sensing
joint torque sensing
0.012012
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
YearPublicationVenuePosition
2012 External force estimation using joint torque sensors for a robot manipulator
abstract
This 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
ICRA1