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Andres Ernits

dblp:66/8369 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › bio-inspired robot › bio-inspired locomotion
biomimetic propulsion
0.112010
Myometry-driven compliant-body design for underwater propulsion · ICRA 2010
Robotics › Legged, aerial and field robots
underwater robotics
0.112010
Myometry-driven compliant-body design for underwater propulsion · ICRA 2010
Robotics › Robot manipulation › mechanical design
compliant mechanism
0.012010
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
YearPublicationVenuePosition
2011 Swimming speed control and on-board flow sensing of an artificial trout
abstract
This 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
ICRA5
2010 Myometry-driven compliant-body design for underwater propulsion
abstract
Within 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
ICRA2