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Joan Ortega Alcaide

dblp:203/5566 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2017
—ORCID · unresolved

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

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

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 · 50% Legged, aerial and field robots · 50%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › undulatory locomotion
peristaltic locomotion
0.312017
Design, modeling and control of a SMA-actuated biomimetic robot with novel functional skin · ICRA 2017
Robotics › Robot manipulation
soft robotics
0.312017
Design, modeling and control of a SMA-actuated biomimetic robot with novel functional skin · ICRA 2017
Medical and health informatics
medical robotics
0.112017
Design, modeling and control of a SMA-actuated biomimetic robot with novel functional skin · ICRA 2017

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

shape memory alloy actuation · 0.6fuzzy control · 0.6finite element analysis · 0.6
YearPublicationVenuePosition
2017 Design, modeling and control of a SMA-actuated biomimetic robot with novel functional skin
abstract
Traditional colonoscopy requires highly trained personnel to be performed. Additionally, current devices may cause discomfort and carry the risk of perforating the bowel wall. In this paper, a soft three modular section robot is designed, modeled, controlled and tested. Each of the robotic sections has three degrees of freedom, one translation and two rotations. The robot uses a peristaltic motion to translate, inspired by the motion generated by the bowel. The robot uses nine independently controlled Shape Memory Alloy (SMA) springs as its actuators and a novel silicone rubber skin provides the passive recovery force to expand the springs to their original state. It also incorporates three air tubes, one for each section, to provide forced convection reducing the cooling time of the SMA springs. A parametric study on the skin curvature and thickness using Finite Element Analysis (FEA) is performed to maximize traction while providing enough recovery force. A multi-input multi-output (MIMO) controller based on fuzzy control is designed and implemented for each of the sections allowing the robot to achieve any orientation between −90° and +90° in both pitch and roll in less than 4 seconds with near zero steady state error. Both the peristaltic motion and the orientability of the robot are tested. The robot is able to perform a peristaltic motion with maximum speed of 4 mm/s (24 cm/min) and an average speed of 2.2 cm/min. Each section is also able to follow, with less than 2% overshoot and near zero steady-state error, periodic multi-input squared signals of 25° of amplitude.
Joan Ortega Alcaide, Levi Pearson, Mark Rentschler
ICRA1