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Ariel Wang

dblp:263/7506 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
—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.

Artificial intelligence
1 paper
Legged, aerial and field robots · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Smart cities and intelligent transportation · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › field robotics
autonomous construction
0.512021
An Autonomous Vault-Building Robot System for Creating Spanning Structures · ICRA 2021
Robotics › Legged, aerial and field robots
field robotics
0.512021
An Autonomous Vault-Building Robot System for Creating Spanning Structures · ICRA 2021
Smart cities and intelligent transportation
construction automation
0.112021
An Autonomous Vault-Building Robot System for Creating Spanning Structures · ICRA 2021

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

modular block assembly · 1.0
YearPublicationVenuePosition
2021 An Autonomous Vault-Building Robot System for Creating Spanning Structures
abstract
Research in autonomous robots for construction has largely focused on ground-based robots whose reach constrains the size of what they can build, or on climbing or aerial robots that build solid or unroofed structures. Autonomous construction of larger, multistory buildings, or bridges spanning unsupported distances, would require robots that build sturdy structures supporting their own weight. In this paper, we present VaultBot, a system of autonomous robots that build a load-bearing spanning vault using identical modular blocks. The custom blocks employ mechanical and other features to facilitate robotic manipulation and locomotion, and can be removed from and replaced in an assembled structure as a way of repairing damage. We characterize the system's performance and failure modes, and demonstrate reliable autonomous assembly for a structure composed of 46 blocks. Blocks can be made collapsible and deployable as a way of reducing mass and volume that must be transported to a construction site. Such a system could be used to help enable construction of protective shelters in challenging environments, such as disaster relief scenarios, arctic settings, or extraterrestrial habitats.
Nathan Melenbrink, Ariel Wang, Justin Werfel
ICRA2