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Eamon Barrett

dblp:21/4205 · also Éamon Barrett · DBLP profile ↗
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6ranked-venue papers
4as first author
1since 2021 · last 2021
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 5 · 4 first-author · 1 since 2021Systems, architecture and hardware · 5 · 4 first-author · 1 since 2021Theory of computation · 1

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
Robot manipulation · 78% Legged, aerial and field robots · 22%
Computer graphics and multimedia
1 paper
Image and video processing · 67% Multimedia analysis and retrieval · 33%

Topics — the 6 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
robot actuation
0.412019
A Rolling Flexure Mechanism for Progressive Stiffness Actuators · ICRA 2019
Robotics › Robot manipulation › actuator design › compliant actuator
series elastic actuator
0.412019
A Rolling Flexure Mechanism for Progressive Stiffness Actuators · ICRA 2019
Robotics › Robot manipulation
mobile manipulation
0.312018
Autonomous Battery Exchange of UAVs with a Mobile Ground Base · ICRA 2018
Robotics › Robot manipulation › mechanical design
compliant mechanism design
0.112019
A Rolling Flexure Mechanism for Progressive Stiffness Actuators · ICRA 2019
Multimedia analysis and retrieval › image analysis
image detection
0.011976
Detection in image dependent noise (Corresp.) · IEEE Trans. Inf. Theory 1976
Image and video processing › image statistics › statistical image modeling › noise modeling
signal-dependent noise
0.011976
Detection in image dependent noise (Corresp.) · IEEE Trans. Inf. Theory 1976

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

finite element analysis · 0.4mission planning · 0.3hypothesis testing · 0.0decision rules · 0.0
YearPublicationVenuePosition
2021 Grasping with Embedded Synergies through a Reconfigurable Electric Actuation Topology
abstract
Kinematic and force synergies can be used to reduce the complexity and dimensionality of the motion generation and control problem, as well as facilitate the mechanical implementation of robotic hands. In this paper we present a novel implementation of hardware synergies realized on the actuation level by leveraging a novel reconfigurable electric actuation topology principle. The proposed electric actuation topology enables different actuation synergies by changing the interconnections among the actuators at the electrical/motor driver level. We describe the synergies and their implementation in a port-based context, and elaborate how equivalent hard and soft synergies emerge from the electric power flow within different actuation topologies. We realize the reconfigurable electric actuation topology scheme in the HERI III hand, a novel robust and powerful robotic gripper, also introduced in this paper, resulting in easy to control behaviours like on industrial grippers or underactuated hands, but with the high grasping versatility of fully actuated hands. Finally we present grasping experiments performed on the HERI III hand that clearly show the desired behaviours and validate the innovative proposed scheme.
Eamon Barrett, Nikolaos G. Tsagarakis
IROS1
2019 A Rolling Flexure Mechanism for Progressive Stiffness Actuators
abstract
Linear Series Elastic Actuators exhibit a restricted design space. This inevitably leads to design trade-offs translating into robot performance limitations. These prevent robots from eventually reaching human comparable soft but also powerful physical interaction performance.This work presents a novel fixed passive rolling flexure design principle enabling the realization of a wide range of progressive torque-deflection characteristics. The proposed principle displays low hysteresis and can be manufactured in single 2D components. The paper derives the analytic foundation for the rolling flexure principle and is supported by numerical finite element analysis. The theory is validated by experimental results obtained on two laboratory prototypes.
Jörn Malzahn, Eamon Barrett, Nikolaos G. Tsagarakis
ICRA2
2018 Autonomous Battery Exchange of UAVs with a Mobile Ground Base
abstract
This paper presents the autonomous battery exchange operation for small scale UAVs, using a mobile ground base that carries a robotic arm and a service station containing the battery exchange mechanism. The goal of this work is to demonstrate the means to increase the autonomy and persistence of robotic systems without requiring human intervention. The design and control of the system and its components are presented in detail, as well as the collaborative software framework used to plan and execute complex missions. Finally, the results of autonomous outdoor experiments are presented, in which the ground rover successfully localizes, retrieves, services, and deploys the landed UAV, proving its capacity to extend and enhance autonomous operations.
Eamon Barrett, Mark Reiling, Seyedmohsen Mirhassani, Rene Meijering, Jeroen Jager, Nicola Mimmo, Flavio Callegati, Lorenzo Marconi 0001, Raffaella Carloni, Stefano Stramigioli
ICRA1
2017 Mechatronic design of a variable stiffness robotic arm
abstract
This paper presents the mechatronic design of a robotic arm that is mounted on a ground rover and used to deploy and recover small-scale unmanned aerial vehicles. The arm and rover are part of a network of collaborative robotic agents aiming to enhance current rescue operations by supporting human operators without burdening them with servicing tasks. The robust autonomy of the system, guaranteed in part through the addition of this robotic arm, is a main contributing factor. Design requirements are derived from the context of the rescue mission and a kinematic analysis is provided that leads to a customized design, including variable stiffness joints for compliant interaction with the environment. Experiments demonstrate the system's ability to perform the required Cartesian trajectory control and manipulation tasks, and to achieve a desired variable end-effector compliance.
Eamon Barrett, Mark Reiling, Giuseppe Barbieri, Matteo Fumagalli 0001, Raffaella Carloni
IROS1
2016 Elastic energy storage in leaf springs for a lever-arm based Variable Stiffness Actuator
abstract
The increasing use of Variable Stiffness Actuators (VSAs) in robotic joints is helping robots to meet the demands of human-robot interaction, requiring high safety and adaptability. The key feature of a VSA is the ability to exploit internal elastic elements to obtain a variable output stiffness. These allow the joints to store mechanical energy supplied through interaction with the environment and make the system more robust, efficient, and safe. This paper discusses the design of leaf springs for a sub-class of VSAs that use variable lever arm ratios as means to change their output stiffness. Given the trade-off between compactness and the maximum energy storage capacity, the internal springs' dimensions and material choice are assessed through a theoretical analysis and practical experiments.
Eamon Barrett, Matteo Fumagalli 0001, Raffaella Carloni
IROS1
1976 Detection in image dependent noise (Corresp.)
abstract
The detection of two-dimensional optical signals which have been corrupted by noise is considered. Discussion is limited to the detection of a known object in a known location. The problem is approached from the classical statistical technique of hypothesis testing. Initially the solution is formulated in very general terms. The decision rule is derived for a signal distorted by noise of an unspecified type which may include signal dependent noise. Once the decision rule is obtained, the probabilities of false alarm and detection are evaluated from a{\sl a priori}knowledge of the noise and imaging system. The general results are applied to Poisson noise, signal dependent Gaussian noise, and binomial noise.
David R. Cunningham, Robert D. Laramore, Eamon Barrett
IEEE Trans. Inf. Theory3