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Mikael Arguedas

dblp:227/2921 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 1 since 2021Systems, architecture and hardware · 2 · 1 since 2021

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
Legged, aerial and field robots · 77% Robot navigation and mapping · 23%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
aerial robots
0.412019
The Open Vision Computer: An Integrated Sensing and Compute System for Mobile Robots · ICRA 2019
Embedded and real-time systems › real-time embedded systems › multimedia embedded systems
embedded vision system
0.412019
The Open Vision Computer: An Integrated Sensing and Compute System for Mobile Robots · ICRA 2019

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

integrated sensing and compute · 0.8
YearPublicationVenuePosition
2022 SROS2: Usable Cyber Security Tools for ROS 2
abstract
ROS 2 is rapidly becoming a standard in the robotics industry. Built upon DDS as its default communication middleware and used in safety-critical scenarios, adding secu-rity to robots and ROS computational graphs is increasingly becoming a concern. The present work introduces SROS2, a series of developer tools and libraries that facilitate adding security to ROS 2 graphs. Focusing on a usability-centric approach in SROS2, we present a methodology for securing graphs systematically while following the DevSecOps model. We also demonstrate the use of our security tools by presenting an application case study that considers securing a graph using the popular Navigation2 and SLAM Toolbox stacks applied in a TurtieBot3 robot. We analyse the current capabilities of SROS2 and discuss the shortcomings, which provides insights for future contributions and extensions. Ultimately, we present SROS2 as usable security tools for ROS 2 and argue that without usability, security in robotics will be greatly impaired.
Victor Mayoral Vilches, Ruffin White, Gianluca Caiazza, Mikael Arguedas
IROS4
2019 The Open Vision Computer: An Integrated Sensing and Compute System for Mobile Robots
abstract
In this paper we describe the Open Vision Computer (OVC) which was designed to support high speed, vision guided autonomous drone flight. In particular our aim was to develop a system that would be suitable for relatively small-scale flying platforms where size, weight, power consumption and computational performance were all important considerations. This manuscript describes the primary features of our OVC system and explains how they are used to support fully autonomous indoor and outdoor exploration and navigation operations on our Falcon 250 quadrotor platform.
Morgan Quigley, Kartik Mohta, Shreyas S. Shivakumar, Michael Watterson, Yash Mulgaonkar, Mikael Arguedas, Ke Sun 0008, Sikang Liu 0002, Bernd Pfrommer, Vijay Kumar 0001, Camillo J. Taylor
ICRA6