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Vivek Rathi

dblp:21/5417 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · unresolved

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

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

Software engineering, system software, and programming languages
1 paper
Empirical software engineering · 87% Software maintenance and evolution · 13%

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

TopicWeightPapersLastEvidence papers
Empirical software engineering › mining software repositories › question and answer sites
developer question analysis
0.612022
Understanding Xacro Misunderstandings · ICRA 2022
Empirical software engineering
mining software repositories
0.612022
Understanding Xacro Misunderstandings · ICRA 2022
Software maintenance and evolution
software ecosystems
0.212022
Understanding Xacro Misunderstandings · ICRA 2022

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

qualitative analysis · 0.6open coding · 0.6
YearPublicationVenuePosition
2022 Understanding Xacro Misunderstandings
abstract
The Xacro XML macro language can be used to augment the Universal Robot Description Format (URDF) and is part of a critical toolchain from geometric representations to simulation, visualization, and system execution. However, mem-bers of the robotics community, especially newcomers, struggle to troubleshoot and understand the interplay between systems and the Xacro preprocessing pipeline. To better understand how system developers struggle with Xacros, we manually examine 712 Xacro-related questions from the question and answer site answers.ros.org and find Xacro misunderstandings fit into eight key categories using a systematic, qualitative approach called Open Coding. By examining the 'tags' applied to questions, we further find that Xacro problems manifest in a befuddlingly broad set of contexts. This hinders onboarding and complicates system developers' understanding of representations and tools in the Robot Operating System. We aim to provide an empirical grounding that identifies and prioritizes impediments to users of open robotics systems, so that tool designers, teachers, and robotics practitioners can devise ways of improving robot software tooling and education.
Nicholas Albergo, Vivek Rathi, John-Paul Ore
ICRA2