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Harry Tuazon

dblp:416/6732 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—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
Robot manipulation · 44% Multi-agent systems · 44% Legged, aerial and field robots · 13%

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

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems
collective behavior
0.912025
Individual and Collective Behaviors in Soft Robot Worms Inspired by Living Worm Blobs · ICRA 2025
Robotics › Robot manipulation
soft robotics
0.912025
Individual and Collective Behaviors in Soft Robot Worms Inspired by Living Worm Blobs · ICRA 2025
Robotics › Legged, aerial and field robots
bio-inspired robot
0.312025
Individual and Collective Behaviors in Soft Robot Worms Inspired by Living Worm Blobs · ICRA 2025

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

pneumatic actuation · 0.9
YearPublicationVenuePosition
2025 Individual and Collective Behaviors in Soft Robot Worms Inspired by Living Worm Blobs
abstract
California blackworms constitute a recently identified animal system exhibiting unusual collective behaviors, in which dozens to thousands of worms entangle to form a “blob” capable of actions like locomotion as an aggregate. In this paper we describe a system of pneumatic soft robots inspired by the blackworms, intended for the study of collective behaviors enabled and mediated by such physical entanglement. Both the robots and worms have high aspect ratio ($\gtrsim 1: 50$), intertwine in complex 3D configurations, operate both in air and underwater, and can locomote both individually and as a collective. We demonstrate and characterize locomotion for both individual robots and entangled blobs, explore the tunability of entanglement strength, and compare these to the analogous versions in living worms. The robots provide a testbed for studying mechanisms underlying behaviors observed in worm blobs, as well as serving as a platform for studies of novel collective behaviors based on physical entanglement.
Carina Kaeser, Junghan Kwon, Elio Challita, Harry Tuazon, Robert J. Wood, Saad Bhamla, Justin Werfel
ICRA4