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Nicholas A. Barendt

dblp:28/8912 · also Nick A. Barendt · DBLP profile ↗
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5ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none

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

Artificial intelligence and machine learning · 4Systems, architecture and hardware · 4Applied, interdisciplinary, general and emerging computing · 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
3 papers
Robot manipulation · 70% Motion planning and robot control · 23% Robot navigation and mapping · 7%
Computer architecture, parallel and distributed computing, and storage systems
2 papers
Embedded and real-time systems · 59% Hardware accelerators and domain-specific architectures · 41%

Topics — the 4 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
robotic workcell control
0.011997
Advances in agile manufacturing · ICRA 1997
Embedded and real-time systems
real-time control
0.011997
Advances in agile manufacturing · ICRA 1997
Robotics › Robot manipulation › assembly
mechanical assembly
0.012000
Design lessons for building agile manufacturing systems · IEEE Trans. Robotics Autom. 2000
Robotics › Robot navigation and mapping › localization › vision-based localization
vision-based pose estimation
0.011997
Design of a flexible parts feeding system · ICRA 1997

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

simulation · 0.0object-oriented software design · 0.0hardware and software reuse · 0.0design tradeoffs · 0.0silhouette imaging · 0.0conveyor singulation · 0.0graphical simulation · 0.0binary computer vision · 0.0
YearPublicationVenuePosition
2000 Design lessons for building agile manufacturing systems
abstract
Summarizes results of a five-year, multi-disciplinary, university-industry collaborative effort investigating design issues in agile manufacturing. The focus of the project is specifically on light mechanical assembly, with the demand that new assembly tasks be implementable quickly, economically, and effectively. Key to achieving these goals is the ease of equipment and software reuse. Design choices for both hardware and software must strike a balance between the inflexibility of special-purpose designs and the impracticality of overly general designs. We review both our physical and software design choices and make recommendations for the design of agile manufacturing systems.
Wyatt S. Newman, Andy Podgurski, Roger D. Quinn, Francis L. Merat, Michael S. Branicky, Nicholas A. Barendt, Greg C. Causey, Erin L. Haaser, Yoohwan Kim, Jayendran Swaminathan, Virgilio B. Velasco Jr.
IEEE Trans. Robotics Autom.6
1997 Design of a flexible parts feeding system
abstract
This paper describes the design and implementation of a flexible parts feeding system. While flexibility encompasses every part of the workcell design, including hardware and control software, the ability to feed parts in a wide variety of sizes and shapes is crucial. Conventional feeding methods, such as vibratory bowl feeders, are not practical for flexible workcells because of their specialized nature. This system is composed of three conveyors working together. The first conveyor is inclined and lifts parts from a bulk hopper in a quasi-singulated manner. Parts fall from the first conveyor onto the second, horizontally mounted, conveyor. An underlit window at the end of the second conveyor presents a silhouette image of the parts to a vision system. After the pose of a part has been determined, a robotic arm is used to acquire it. Parts which are in unfavorable orientations or are overlapping are returned to the bulk hopper by a third conveyor. Guidelines for part design which improve the feeding system's performance are also presented.
Greg C. Causey, Roger D. Quinn, Nicholas A. Barendt, David Sargent, Wyatt S. Newman
ICRA3
1997 A flexible software architecture for agile manufacturing
abstract
The flexibility required of an agile manufacturing system must be achieved largely through computer software. The system's control software must be adaptable to new products and to new system components without becoming unreliable or difficult to maintain. This requires designing the software specifically to facilitate future changes. As part of the Agile Manufacturing Project at Case Western Reserve University, we have developed a software architecture for control of an agile manufacturing workcell, and we have demonstrated its flexibility with rapid changeover and introduction of new products. In this paper, we describe the requirements for agile manufacturing software and how our software architecture addresses them.
Yoohwan Kim, Ju-Yeon Jo, Virgilio B. Velasco Jr., Nicholas A. Barendt, Andy Podgurski, Gultekin Özsoyoglu, Francis L. Merat
ICRA4
1997 Advances in agile manufacturing
abstract
An agile workcell has been developed for light mechanical assembly in collaboration with industrial sponsors. The workcell includes multiple Adept robots, a Bosch conveyor system, multiple flexible parts feeders at each robot's workstation, CCD cameras for parts feeding and hardware registration, and a dual VMEbus control system. Our flexible pairs feeder design uses multiple conveyors to singulate the parts and machine vision to locate them. Specialized hardware is encapsulated on modular grippers and modular worktables which can be quickly interchanged for assembly of different products. Object-oriented software (C++) running under VxWorks, a real-time operating system, is used for workcell control. An agile software architecture was developed for rapid introduction of new assemblies through code re-use. A simulation of the workcell was developed so that controller software could be written and tested off-line, enabling the rapid introduction of new products.
Francis L. Merat, Nicholas A. Barendt, Roger D. Quinn, Greg C. Causey, Wyatt S. Newman, Virgilio B. Velasco Jr., Andy Podgurski, Yoohwan Kim, Gultekin Özsoyoglu, Ju-Yeon Jo
ICRA2
1996 Design of an agile manufacturing workcell for light mechanical applications
abstract
This paper introduces a design for agile manufacturing workcells intended for light mechanical assembly of products made from similar components (i.e. parts families). We define agile manufacturing as the ability to accomplish rapid changeover from the assembly of one product to the assembly of another product. Rapid hardware changeover is made possible through the use of robots, flexible part feeders, modular grippers and modular assembly hardware. The flexible feeders rely on belt feeding and binary computer vision for Dose estimation. This has a distinct advantage over non-flexible feeding schemes such as bowl feeders which require considerable adjustment to changeover from one part to another. Rapid software changeover is being facilitated by the use of a real-time, object-oriented software environment, modular software, graphical simulations for off-line software development, and an innovative dual VMEbus controller architecture. These agile features permit new products to be introduced with minimal downtime and system reconfiguration.
Roger D. Quinn, Greg C. Causey, Francis L. Merat, David Sargent, Nicholas A. Barendt, Wyatt S. Newman, Virgilio B. Velasco Jr., Andy Podgurski, Ju-Yeon Jo, Leon Sterling, Yoohwan Kim
ICRA5