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Emanuele Cattin

dblp:09/6615 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

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

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2Applied, interdisciplinary, general and emerging computing · 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.

Human-computer interaction and pervasive computing
1 paper
Health and well-being technologies · 56% Human-robot interaction · 44%
Artificial intelligence
1 paper
Motion planning and robot control · 50% Robot manipulation · 50%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
robot control
0.212013
NEUROExos: A Powered Elbow Exoskeleton for Physical Rehabilitation · IEEE Trans. Robotics 2013
Robotics › Robot manipulation › actuator design › compliant actuator
variable impedance actuation
0.212013
NEUROExos: A Powered Elbow Exoskeleton for Physical Rehabilitation · IEEE Trans. Robotics 2013
Human-robot interaction
physical human-robot interaction
0.212013
NEUROExos: A Powered Elbow Exoskeleton for Physical Rehabilitation · IEEE Trans. Robotics 2013
Health and well-being technologies › rehabilitation technology
rehabilitation robotics
0.212013
NEUROExos: A Powered Elbow Exoskeleton for Physical Rehabilitation · IEEE Trans. Robotics 2013

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

torque control · 0.3impedance control · 0.3
YearPublicationVenuePosition
2013 NEUROExos: A Powered Elbow Exoskeleton for Physical Rehabilitation
abstract
This paper presents the design and experimental testing of the robotic elbow exoskeleton NEUROBOTICS Elbow Exoskeleton (NEUROExos). The design of NEUROExos focused on three solutions that enable its use for poststroke physical rehabilitation. First, double-shelled links allow an ergonomic physical human-robot interface and, consequently, a comfortable interaction. Second, a four-degree-of-freedom passive mechanism, embedded in the link, allows the user's elbow and robot axes to be constantly aligned during movement. The robot axis can passively rotate on the frontal and horizontal planes 30° and 40°, respectively, and translate on the horizontal plane 30 mm. Finally, a variable impedance antagonistic actuation system allows NEUROExos to be controlled with two alternative strategies: independent control of the joint position and stiffness, for robot-in-charge rehabilitation mode, and near-zero impedance torque control, for patient-in-charge rehabilitation mode. In robot-in-charge mode, the passive joint stiffness can be changed in the range of 24-56 N·m/rad. In patient-in-charge mode, NEUROExos output impedance ranges from 1 N·m/rad, for 0.3 Hz motion, to 10 N·m/rad, for 3.2 Hz motion.
Nicola Vitiello, Tommaso Lenzi, Stefano Roccella, Stefano Marco Maria De Rossi, Emanuele Cattin, Francesco Giovacchini, Fabrizio Vecchi, Maria Chiara Carrozza
IEEE Trans. Robotics5
2009 HANDEXOS: Towards an exoskeleton device for the rehabilitation of the hand
abstract
This paper introduces a novel exoskeleton device (HANDEXOS) for the rehabilitation of the hand for post-stroke patients. The nature of the impaired hand can be summarized in a limited extension, abduction and adduction leaving the fingers in a flexed position, so the exoskeleton goal is to train a safe extension motion from the typical closed position of the impaired hand. The mechanical design of HANDEXOS offers the possibility to overcome the exoskeleton limits often related to the general high level of complexity of the structure, mechanism and actuation. We describe the mechanical design of the index finger module, the dynamic model and some preliminary experimental results.
Azzurra Chiri, Francesco Giovacchini, Nicola Vitiello, Emanuele Cattin, Stefano Roccella, Fabrizio Vecchi, Maria Chiara Carrozza
IROS4
2007 The NEURARM: towards a platform for joint neuroscience experiments on human motion control theories
abstract
This paper presents the development of new transmission components and position controller of the NEURARM hydraulic actuation unit as critical components of a novel robotic arm specifically designed to perform joint experiments between neuroscience and robotics. NEURARM replicates the main functions and characteristics of the human arm during the execution of planar movements like reaching and catching, and it was used to investigate human motion control theories, to develop and evaluate models of control, of learning and of sensory-motor interaction.
Nicola Vitiello, Emanuele Cattin, Stefano Roccella, Francesco Giovacchini, Fabrizio Vecchi, Maria Chiara Carrozza, Paolo Dario
IROS2