EDBT 2026 Demo / reviewers in the wild / expert
Harry Tuazon
dblp:416/6732
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Multi-agent systems
collective behavior |
0.9 | 1 | 2025 | Individual and Collective Behaviors in Soft Robot Worms Inspired by Living Worm Blobs · ICRA 2025 |
Robotics › Robot manipulation
soft robotics |
0.9 | 1 | 2025 | Individual and Collective Behaviors in Soft Robot Worms Inspired by Living Worm Blobs · ICRA 2025 |
Robotics › Legged, aerial and field robots
bio-inspired robot |
0.3 | 1 | 2025 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Individual and Collective Behaviors in Soft Robot Worms Inspired by Living Worm BlobsabstractCalifornia 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 |
ICRA | 4 |