Demo Data from SIGIR 2026 / reviewers in the wild / expert
Hussein Al Jleilaty
dblp:246/7796
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2019
—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 · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
mobile robot control |
0.4 | 1 | 2019 | Model Reference Adaptive Control of a Two-Wheeled Mobile Robot · ICRA 2019 |
Robotics › Motion planning and robot control › robot control › adaptive control
adaptive nonlinear control |
0.1 | 1 | 2019 | Model Reference Adaptive Control of a Two-Wheeled Mobile Robot · ICRA 2019 |
Methods — techniques the papers use, named apart from their topics
model reference adaptive control · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Model Reference Adaptive Control of a Two-Wheeled Mobile RobotabstractThe inverted pendulum is by nature a dynamically unstable system and may be subjected to severe disturbances due to its environmental or loading conditions. This paper formulates a design for a nonlinear controller to balance a two-wheeled mobile robot (TWMR) based on Model Reference Adaptive Control. The proposed solution overcomes the limitations of control systems that rely on fixed parameter controllers. Given the nonlinear single-input multi-output (SIMO) nature of the TWMR platform, the proposed adaptive controller can handle non-linearities without the need for linearization, and inherently dealing with SIMO systems. By studying the influence that hidden dynamic effects can cause, we show the preference of the proposed controller over other designs. Simulation results demonstrate the applicability and efficiency of our proposed design, and experimental results validate the effectiveness of the proposed scheme in guaranteeing asymptotic output tracking, even in the presence of unknown disturbances. Hussein Al Jleilaty, Daniel C. Asmar, Naseem A. Daher |
ICRA | 1 |