Demo Data from SIGIR 2026 / reviewers in the wild / expert
Hussein H. H. Fakhry
dblp:79/5492
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1994
—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.
| Artificial intelligence
1 paper |
Motion planning and robot control · 75% Planning, search and constraint satisfaction · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › intelligent control
neural network control |
0.0 | 1 | 1994 | Integration of a Robust Trajectory Planner with a Feedforward Neural Controller for Robotic Manipulators · ICRA 1994 |
Robotics › Motion planning and robot control › motion planning › real-time motion planning
real-time trajectory generation |
0.0 | 1 | 1994 | Integration of a Robust Trajectory Planner with a Feedforward Neural Controller for Robotic Manipulators · ICRA 1994 |
Robotics › Motion planning and robot control
robot control |
0.0 | 1 | 1994 | Integration of a Robust Trajectory Planner with a Feedforward Neural Controller for Robotic Manipulators · ICRA 1994 |
Robotics › Motion planning and robot control
trajectory planning |
0.0 | 1 | 1994 | Integration of a Robust Trajectory Planner with a Feedforward Neural Controller for Robotic Manipulators · ICRA 1994 |
Methods — techniques the papers use, named apart from their topics
online learning · 0.0CMAC neural network · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | Integration of a Robust Trajectory Planner with a Feedforward Neural Controller for Robotic ManipulatorsabstractThis paper deals with the integration of a real-time trajectory planner and neural network (CMAC) based controller with on-line learning for robotic manipulators in the presence of obstacles. The effectiveness of the integrated system is verified by simulations for the first two links of the Adept-One robot.> Farrokh Janabi-Sharifi, Hussein H. H. Fakhry, William J. Wilson |
ICRA | 2 |