Demo Data from SIGIR 2026 / reviewers in the wild / expert
Andres Ernits
dblp:66/8369
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2
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
2 papers |
Legged, aerial and field robots · 58% Robot manipulation · 42% | |
| Computer networks
1 paper |
Wireless sensing and localization · 100% |
Topics — the 3 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots › bio-inspired robot › bio-inspired locomotion
biomimetic propulsion |
0.1 | 1 | 2010 | Myometry-driven compliant-body design for underwater propulsion · ICRA 2010 |
Robotics › Legged, aerial and field robots
underwater robotics |
0.1 | 1 | 2010 | Myometry-driven compliant-body design for underwater propulsion · ICRA 2010 |
Robotics › Robot manipulation › mechanical design
compliant mechanism |
0.0 | 1 | 2010 | Myometry-driven compliant-body design for underwater propulsion · ICRA 2010 |
Methods — techniques the papers use, named apart from their topics
pressure sensing · 0.2linear control law · 0.2myometry · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Swimming speed control and on-board flow sensing of an artificial troutabstractThis paper describes a sensing-actuation coupling of a robotic trout that detects changes of the laminar flow speed using an on-board pressure sensor and adjusts its tail-beat frequency for steady swimming. The caudal fin actuator closely mimics the morphology of a real trout, in particular the geometry, stiffness and stiffness distribution of the body and the caudal fin. We hypothesize that the linear relationship between the tail-beat frequency and speed, well-known and proven to hold for all fish studied so far, also holds for an artificial fish. We validate the hypothesis and use the results to derive a linear control law to adjust the tail-beat frequency to the swimming speed. We use an onboard pressure sensor to detect the flow speed and test the actuation in a controlled hydrodynamic environment in a flow pipe. Maarja Kruusmaa, Gert Toming, Taavi Salumae, Jaas Jezov, Andres Ernits |
ICRA | 5 |
| 2010 | Myometry-driven compliant-body design for underwater propulsionabstractWithin the broader scope of underwater biomimetics, in this paper we address the relevance of factors such as shape and elasticity distribution in the ability of a compliant device to imitate the kinematic behaviour of a fish. We assess the viability of myometry as a tool to determine candidate mechanical parameters without relying solely on analytical models; we show that we can obtain elasticity distributions that are both consistent with previous theoretical investigations and experimentally better adherent to the passive kinematics of a biological embodiment (rainbow trout). Otar Akanyeti, Andres Ernits, Maria-Camilla Fiazza, Gert Toming, Guntis Kulikovskis, Madis Listak, Rasmus Raag, Taavi Salumae, Paolo Fiorini, Maarja Kruusmaa |
ICRA | 2 |