Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Joseph Spitzer

dblp:174/9537 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computing education · 100%
Artificial intelligence
1 paper
Robot manipulation · 100%

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

TopicWeightPapersLastEvidence papers
Computing education › educational technology
educational robotics
0.412020
Making High-Performance Robots Safe and Easy to Use For an Introduction to Computing · AAAI 2020
Computing education › programming education
introductory programming
0.412020
Making High-Performance Robots Safe and Easy to Use For an Introduction to Computing · AAAI 2020
Robotics › Robot manipulation
robot programming
0.112020
Making High-Performance Robots Safe and Easy to Use For an Introduction to Computing · AAAI 2020

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

javascript · 0.9
YearPublicationVenuePosition
2020 Making High-Performance Robots Safe and Easy to Use For an Introduction to Computing
abstract
Robots are a popular platform for introducing computing and artificial intelligence to novice programmers. However, programming state-of-the-art robots is very challenging, and requires knowledge of concurrency, operation safety, and software engineering skills, which can take years to teach. In this paper, we present an approach to introducing computing that allows students to safely and easily program high-performance robots. We develop a platform for students to program RoboCup Small Size League robots using JavaScript. The platform 1) ensures physical safety at several levels of abstraction, 2) allows students to program robots using JavaScript in the browser, without the need to install software, and 3) presents a simplified JavaScript semantics that shields students from confusing language features. We discuss our experience running a week-long workshop using this platform, and analyze over 3,000 student-written program revisions to provide empirical evidence that our approach does help students.
Joseph Spitzer, Joydeep Biswas, Arjun Guha
AAAI1