José A. Chocoteco

dblp:138/9111 · also José Abel Chocoteco · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
0000-0002-5925-9688ORCID · reported

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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
1 paper
Robot manipulation · 56% Motion planning and robot control · 44%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
flexible manipulator
0.312018
Modeling and Identification of a Single Link Flexible Arm with a Passive Gravity Compensation Mechanism · ICRA 2018
Robotics › Motion planning and robot control › robot control
gravity compensation
0.312018
Modeling and Identification of a Single Link Flexible Arm with a Passive Gravity Compensation Mechanism · ICRA 2018

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

lumped-mass modeling · 0.3frequency response identification · 0.3
YearPublicationVenuePosition
2018 Modeling and Identification of a Single Link Flexible Arm with a Passive Gravity Compensation Mechanism
abstract
In this paper, we present an experimental study concerning the gravity compensation of flexible link arms based on linear springs. In the field of flexible link robotics, the gravity compensation based on counterweights has been successfully applied in the past, but little effort has been made to examine the potential benefits and difficulties of using spring-based compensation mechanisms. This paper focuses on the modeling and identification of a single link flexible arm compensated with a spring based mechanism. As modeling approach, we followed the lumped-mass methodology to develop a model capable of reproducing the first vibrational frequency of the flexible link arm. Keeping in mind the forces that interact with the flexible link, a combination of sensors is suggested in order to measure and estimate the most important variables of the system. Subsequently, a very simple and reliable identification method based on the time and frequency response of the system is proposed. Finally, the results of the modeling and identification are validated on our experimental platform.
Juan Carlos Cambera, José A. Chocoteco, Vicente Feliú Batlle
ICRA2