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Caj Zell

dblp:02/981 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1994
—ORCID · none

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

Systems, architecture and hardware · 2 · 1 first-authorArtificial intelligence and machine learning · 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
Robot navigation and mapping · 50% Motion planning and robot control · 50%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Electronic design automation · 100%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › mobile robot control
trailer backing
0.011994
Navigating an Articulated Vehicle and Reversing with a Trailer · ICRA 1994

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

state estimation · 0.0laser beacon tracking · 0.0kalman filter · 0.0
YearPublicationVenuePosition
1994 Navigating an Articulated Vehicle and Reversing with a Trailer
abstract
This paper describes two related tests; to navigate an articulated lawn mower and to reverse a mobile robot with a trailer. In both cases the vehicles are to follow a prespecified trajectory. The navigation principal is based on measured directions to several identical beacons, consisting of strips of reflective tapes. The angular sensor is a rotating laser for the illumination of the beacons and a highly sensitive electro-optical receiver for detecting the directions to the beacons. A Kalman filter is used to combine the measurements from the odometers with the detected angles to the known position of the beacons. To measure the angle between the robot and the trailer the same laser was used. This was done by placing two reflective beacons on the trailer. The repeatability was within 2 centimetre at low speed. The navigation of these two different types of vehicles turns out to be, essentially, the same problem. The sensitivities are different. Emphasis is on robust state estimation.>
Ulf Larsson, Caj Zell, Kalevi Hyyppä, Åke Wernersson
ICRA2
1967 Manufacturing engineering and information
abstract
This paper describes an operating computer-aided system (COMET), which processes Automated Wire List data into many forms required in manufacturing, assembly, installation and automated check out of electrical and electronic systems. The presentation presumes an operating Automated Wire List system and specifies some of the value benefits achieved at North American Aviation, Inc. The COMET description is presented from the viewpoint of Manufacturing Engineering as an interface communication link between Engineering Design, at the point of information generation, and those Production functions which must build and check out complex wiring systems using this same information. Description of the computer programming involved is not included.
Caj Zell
DAC1