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Victor Kuo

dblp:20/9965 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2013
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 2 first-authorSystems, architecture and hardware · 1 · 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.

Artificial intelligence
1 paper
Robot manipulation · 50% Efficient and distributed learning · 50%

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

TopicWeightPapersLastEvidence papers
Machine learning › Efficient and distributed learning
inter-module communication
0.112011
A multi-radio architecture for neighbor-to-neighbor communication in modular robots · ICRA 2011
Robotics › Robot manipulation
modular robot
0.112011
A multi-radio architecture for neighbor-to-neighbor communication in modular robots · ICRA 2011

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

wireless networking · 0.1multi-radio communication · 0.1
YearPublicationVenuePosition
2013 Zero mutual interference network for intelligent vehicle communication
abstract
We propose to enable high-throughput, scalable communication for cooperative autonomous vehicles through zero mutual interference (ZMI) networks. Cooperation in complex environments relies on wireless communication, but conventional wireless networks are not designed for cooperative autonomous vehicles and are fundamentally limited by mutual interference. Our approach is to avoid mutual interference by design; ZMI networks provide wired network properties using wireless radio links. In this paper, we present the initial instantiation of a ZMI network based on a multi-radio, multichannel architecture. The network is constructed such that each vehicle communicates with topological neighbours using a dedicated radio and channel. We also present experimental results that compare the performance of a ZMI network to a conventional inter-vehicle communication network in a cooperative perception and control task.
Victor Kuo, Robert Fitch
Intelligent Vehicles Symposium1
2011 A multi-radio architecture for neighbor-to-neighbor communication in modular robots
abstract
Decentralized control of modular robots requires reliable inter-module communication. Communication links must tolerate module misalignment and implement the neighbor-to-neighbor communication model. We propose a wireless system based on multiple radios per module that addresses these challenges. Our system scales to large robots because available bandwidth is independent of the number of modules. In this paper, we present our multi-radio single-channel architecture and validate its performance through hardware experiments. Results show that radios can provide reliable neighbor-to-neighbor communication suitable for modular robots.
Victor Kuo, Robert Fitch
ICRA1