Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Hussein H. H. Fakhry

dblp:79/5492 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › intelligent control
neural network control
0.011994
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
0.011994
Integration of a Robust Trajectory Planner with a Feedforward Neural Controller for Robotic Manipulators · ICRA 1994
Robotics › Motion planning and robot control
robot control
0.011994
Integration of a Robust Trajectory Planner with a Feedforward Neural Controller for Robotic Manipulators · ICRA 1994
Robotics › Motion planning and robot control
trajectory planning
0.011994
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
YearPublicationVenuePosition
1994 Integration of a Robust Trajectory Planner with a Feedforward Neural Controller for Robotic Manipulators
abstract
This 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
ICRA2