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
Demo Data from EDBT 2026 / reviewers in the wild / expert

Said Zahrai

dblp:72/9965 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2

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
Robot manipulation · 77% Motion planning and robot control · 23%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Electronic design automation · 77% Embedded and real-time systems · 23%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation › hardware/software co-design
co-simulation		 0.112011
Software, electronics and mechanical components co-simulation for efficient design · ICRA 2011
Robotics › Motion planning and robot control › design optimization
robot design optimization		 0.012011
Virtual prototyping for drive chain optimization in an industrial robot · ICRA 2011
Embedded and real-time systems › cyber-physical systems
cyber-physical system design		 0.012011
Software, electronics and mechanical components co-simulation for efficient design · ICRA 2011

Methods — techniques the papers use, named apart from their topics

virtual prototyping · 0.1time-discretization simulation · 0.1dynamic simulation · 0.1
YearPublicationVenuePosition
2011 Virtual prototyping for drive chain optimization in an industrial robot
abstract
Cost, performance and efficiency of energy usage of a robot system is strongly dependent on its drive chain, i.e. combination of the drive, the motors and the gears. A model is presented that allows accurate simulation of the drive chain in an industrial robot to offer a high degree of optimization in the design process. Simulation results are compared to final data from the developed units and excellent agreements are found.
Bojun Ma, Said Zahrai
 ICRA3
2011 Software, electronics and mechanical components co-simulation for efficient design
abstract
A method and a tool for simulation of a control system are presented. The tool allows integration of software components, electronics and mechanical devices into the same package and makes it possible to simulate the complete system accounting for all time-discretizations and physical delays in an accurate way. The software used for control of the virtual system is exactly the same as that used in the final product. The complete system can be prototyped in a virtual world, be tested and optimized long before a physical prototype is built.
Yicheng Zhang 0001, Said Zahrai
 ICRA3