Demo Data from EDBT 2026 / reviewers in the wild / expert
Luyin Hu
dblp:265/5595
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2022
0000-0002-2931-8552ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021
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 · 100% |
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 |
0.6 | 1 | 2022 | On Radiation-Based Thermal Servoing: New Models, Controls, and Experiments · IEEE Trans. Robotics 2022 |
Robotics › Motion planning and robot control › robot control
sensor-based control |
0.6 | 1 | 2022 | On Radiation-Based Thermal Servoing: New Models, Controls, and Experiments · IEEE Trans. Robotics 2022 |
Robotics › Motion planning and robot control › robot control
adaptive control |
0.2 | 1 | 2022 | On Radiation-Based Thermal Servoing: New Models, Controls, and Experiments · IEEE Trans. Robotics 2022 |
Methods — techniques the papers use, named apart from their topics
lyapunov stability analysis · 0.6geometric-thermal-motor model · 0.6adaptive control · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | On Radiation-Based Thermal Servoing: New Models, Controls, and ExperimentsabstractIn this article, we introduce a new sensor-based control method that regulates (by means of robot motion) the temperature of objects that are subject to a radiative heat source. This valuable sensorimotor capability is needed in many industrial, dermatology, and field robot applications, and it is an essential component for creating machines with advanced thermomotor intelligence. To this end, we derive a geometric-thermal-motor model, which describes the relation between the robot’s active configuration and the produced dynamic thermal response. We then use the model to guide the design of two new thermal servoing controllers (one model-based and one adaptive), and analyze their stability with Lyapunov theory. To validate our method, we report a detailed experimental study with a robotic manipulator conducting autonomous thermal servoing tasks. We show that the temperature of multiple objects with unknown thermophysical properties attached to the same end-effector can be effectively regulated by controlled robot motion. Although thermal sensing is a mature technology in many industrial thermal engineering applications, its use as a feedback signal for robot control has not been sufficiently studied in the literature. To the best of our knowledge, this is the first time that temperature regulation is formulated as a motion control problem for robots. Luyin Hu, David Navarro-Alarcon, Andrea Cherubini, Mengying Li |
IEEE Trans. Robotics | 1 |