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Daniel Pérez-Suay

dblp:383/4398 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2024
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021Systems, architecture and hardware · 2 · 1 first-author · 2 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 · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › actuator design
tendon-driven actuation
0.812024
Torque Transmission in Double-Tendon Sheath Driven Actuators for Application in Exoskeletons · ICRA 2024
Robotics › Robot manipulation › wearable robotics
exoskeleton
0.212024
Torque Transmission in Double-Tendon Sheath Driven Actuators for Application in Exoskeletons · ICRA 2024

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

hysteresis modeling · 0.8experimental modeling · 0.8
YearPublicationVenuePosition
2024 Torque Transmission in Double-Tendon Sheath Driven Actuators for Application in Exoskeletons
abstract
Bowden cables serve as essential components in various mechanical systems, facilitating power transmission from remote actuators to specific destinations. The pretension of Bowden cables profoundly influences system performance, notably in terms of friction. This study investigates the effects of cable pretension and shape on friction and torque efficiency. A custom self-designed testbed, comprising integrated actuator units, pulleys, and a novel pretension mechanism connected by Bowden cables, is utilized to conduct experimental tests under varying parameters. This work adopts an integrated approach of experimentation, modeling, and validation, offering preliminary insights into the torque transmission characteristics of tendon driven actuator systems. Additionally, the precise model exhibits excellent conformity across a broad range of shapes and provides initial insights into hysteresis modeling attributable to cable material properties.
Daniel Pérez-Suay, Hamid Sadeghian, Abdeldjallil Naceri, Sami Haddadin
ICRA1
2024 A Tactile Lightweight Exoskeleton for Teleoperation: Design and Control Performance
abstract
In this work, an upgraded exoskeleton design is presented with enhanced trajectory tracking and mechanical transparency. Compared to the first version, the design features a 3-DoF actuated shoulder joint and a mechanism to regulate the pretension of Bowden cables. Force/torque sensors are installed to directly measure the interaction forces between the human arm and the exoskeleton at the connecting points. Three control strategies were evaluated to follow a desired trajectory; A PD controller, a PD controller with friction observer, and an adaptive controller based on Radial Basis Function (RBF). These strategies also form the basis for an admittance control, aimed at improving the exoskeleton’s mechanical transparency during interaction with the human arm. Simulations and experimental results demonstrate that the PD control, supported by friction estimation via a momentum observer, achieves superior tracking performance. Moreover, the system’s mechanical transparency is enhanced using the admittance RBF-based controller, showing marginally superior results.
Moein Forouhar, Hamid Sadeghian, Daniel Pérez-Suay, Abdeldjallil Naceri, Sami Haddadin
IROS3