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Shinji Kume

dblp:54/2559 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2001
—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 · 2 · 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.

Computer networks
1 paper
Network management and operations · 50% Network performance modeling · 50%
Artificial intelligence
1 paper
Robot manipulation · 62% Motion planning and robot control · 19% Reinforcement learning · 19%

Topics — the 3 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › assembly
multi-robot assembly
0.012000
Visually Guided Coordination for Distributed Precision Assembly · ICRA 2000
Machine learning › Reinforcement learning › multi-agent reinforcement learning
multi-agent communication
0.012000
Visually Guided Coordination for Distributed Precision Assembly · ICRA 2000
Robotics › Motion planning and robot control › robot control › sensor-based control
visual servoing
0.012000
Visually Guided Coordination for Distributed Precision Assembly · ICRA 2000

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

fast ethernet · 0.0visual servoing · 0.0low-latency protocols · 0.0
YearPublicationVenuePosition
2001 A High-Performance Network Infrastructure and Protocols for Distributed Automation
abstract
Documents our efforts to develop a scalable low-cost and high-performance network infrastructure for a novel distributed automation system-minifactory. The resulting communication system (AAA-Net) relies on a suite of low-latency protocols carried by a commercial 100 Mb Fast Ethernet network. In addition to documenting the operation of this network system and its associated protocols we offer a brief comparison to the currently available commercial field network systems, and present experimental verification of the performance delivered by AAA-Net under typical and extreme operating conditions.
Shinji Kume, Alfred A. Rizzi
ICRA1
2000 Visually Guided Coordination for Distributed Precision Assembly
abstract
We document our initial efforts to instantiate visually-guided cooperative behaviors between robotic agents in the minifactory environment. The minifactory incorporates high-precision, 2-DOF robotic agents to perform micron-level precision 4-DOF assembly tasks. Here we utilize two minifactory agents to perform visual servoing. We present a detailed description of the control and communication systems used to coordinate the agents. To provide a suitable communications infrastructure, we describe the development of a new interagent communication system which uses low-latency protocols carried by a commercial 100 Mb Ethernet network. Finally, we conclude by presenting experimental results front our first coordinated multi-agent task, the visually guided positioning of a small medical device.
Michael L. Chen, Shinji Kume, Alfred A. Rizzi, Ralph L. Hollis
ICRA2