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Paul S. Schneider

dblp:15/349 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—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
Robot manipulation · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › robot design
manipulator design
0.012003
A behaviour-based manipulator for multi-robot transport tasks · ICRA 2003
Robotics › Robot manipulation › cooperative manipulation
multi-robot transportation
0.012003
A behaviour-based manipulator for multi-robot transport tasks · ICRA 2003

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

behavior-based control · 0.0
YearPublicationVenuePosition
2003 A behaviour-based manipulator for multi-robot transport tasks
abstract
In this paper we report on the design, implementation and testing of a manipulator for a multi-robot task involving the transport of an extended payload by two robots. The overall task involves three main manipulation components, namely payload pickup, terrain traversal and putdown at the deployment site. The manipulator was specifically designed to meet the requirements of these manipulation operations. It comprises three main components, a two-degree of freedom arm, a passive but compliant one-degree of freedom wrist, and an active gripper mechanism. Low-level control is accomplished using a small network of PIC microcontrollers. A key design goal of the control architecture was software and hardware modularity: separate modules drive the motors, measure encoder counts and support a range of low-level behaviors suitable for the task. Several sensors were specifically designed to enhance the compliance of the system. High-level control is based on an on-board laptop computer. The paper describes the motivation, the design and implementation, and the experimental results to date.
Antonios K. Bouloubasis, Gerard T. McKee, Paul S. Schneider
ICRA3