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Clifford C. Geschke

dblp:50/9703 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1984
—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 · 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
2 papers
Motion planning and robot control · 65% Robot manipulation · 35%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%
Software engineering, system software, and programming languages
1 paper
Operating systems · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
robot control
0.011984
VAL-II: A new robot control system for automatic manufacturing · ICRA 1984
Robotics › Robot manipulation › robot programming
robot programming languages
0.011984
VAL-II: A new robot control system for automatic manufacturing · ICRA 1984
Robotics › Motion planning and robot control › robot control
sensor-based control
0.011983
A System for Programming and Controlling Sensor-Based Robot Manipulators · IEEE Trans. Pattern Anal. Mach. Intell. 1983
Embedded and real-time systems
real-time control
0.011984
VAL-II: A new robot control system for automatic manufacturing · ICRA 1984

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

servo process programming · 0.0sensory interface · 0.0network communication · 0.0condition monitoring · 0.0
YearPublicationVenuePosition
1984 VAL-II: A new robot control system for automatic manufacturing
abstract
As automatic manufacturing systems become more sophisticated, there is an increasing need for advanced robots which can be easily integrated into the overall system. These robots need to interact with both a supervisory control network and with various sensory devices. VAL-II is a new robot control system and programming language which addresses these needs by supporting network communications, general sensory interfaces, real-time trajectory modification, and concurrent user-program execution. In addition, VAL-II includes high-level computer programming facilities that allow professional programmers to develop special-purpose application programs which simplify the operator interface.
Bruce E. Shimano, Clifford C. Geschke, Charles H. Spalding III
ICRA2
1983 A System for Programming and Controlling Sensor-Based Robot Manipulators
abstract
This paper describes an approach to programming and controlling robot manipulators which facilitates the use of sensory information. Robot actions are specified by declaring software servo processes which control the robot's various degrees of freedom. These servo processes can involve position, orientation, force, and torque information from the robot itself, or data from external sensors. Robot tasks are programmed by dynamically modifying the servo processes or by changing set points to these processes. Condition monitors, which have access to program and sensory information, detect the completion of program steps.
Clifford C. Geschke
IEEE Trans. Pattern Anal. Mach. Intell.1