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Amir S. Tabandeh

dblp:09/4599 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1992
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 1 first-authorSystems, architecture and hardware · 1Graphics, computer vision, multimedia, augmented reality and games · 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
Robot manipulation · 62% Image recognition and object detection · 19% Motion planning and robot control · 19%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
assembly
0.011989
A prototype, integrated, CAD-based robotic assembly system · ICRA 1989
Computer vision › Image recognition and object detection
object recognition and localization
0.011989
A prototype, integrated, CAD-based robotic assembly system · ICRA 1989
Robotics › Motion planning and robot control
path planning
0.011989
A prototype, integrated, CAD-based robotic assembly system · ICRA 1989

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

vision processing · 0.0tree search · 0.0solid modeling · 0.0
YearPublicationVenuePosition
1992 Interpreting Unexpected User Activity in an Intelligent User Interface
Amir S. Tabandeh
IEA/AIE1
1989 A prototype, integrated, CAD-based robotic assembly system
abstract
An integrated system which is part of a larger project in robotic assembly is described in terms first of its separate components and then of its integrated form and performance. The parts to be assembled are previously designed by CAD, and therefore geometrical models of the parts are available in a solid modeler which is incorporated in the system. In the integrated system presented, simplified versions of the component parts of an aircraft equipment tray are recognized and located by vision from an arbitrary initial state and moved to a final state appropriate to assembly. The components of the system described are: low-level vision processing using a transputer array; an intelligent vision system integrated with a solid modeler for part recognition and location; a path planner using 2/sup n/-array tree search; and the control of a PUMA robot. The integration of the components and the performance of the prototype system are described.>
Frank Fallside, M. R. Jahanbin, Tim Marsland, Amir S. Tabandeh, M. W. Wright
ICRA4