Maíra Martins da Silva

ORCID: 0000-0003-2146-9409
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About
Contact & Profiles
Research Areas
  • Robotic Mechanisms and Dynamics
  • Dynamics and Control of Mechanical Systems
  • Manufacturing Process and Optimization
  • Advanced machining processes and optimization
  • Vehicle Dynamics and Control Systems
  • Robot Manipulation and Learning
  • Advanced Machining and Optimization Techniques
  • Iterative Learning Control Systems
  • Robotic Path Planning Algorithms
  • Advanced Surface Polishing Techniques
  • Mechanical Engineering and Vibrations Research
  • Vehicle Noise and Vibration Control
  • Biomimetic flight and propulsion mechanisms
  • Mechatronics Education and Applications
  • Soft Robotics and Applications
  • Acoustic Wave Phenomena Research
  • Underwater Vehicles and Communication Systems
  • Soil Mechanics and Vehicle Dynamics
  • Real-time simulation and control systems
  • Probabilistic and Robust Engineering Design
  • Mechanics and Biomechanics Studies
  • Network Security and Intrusion Detection
  • Innovations in Concrete and Construction Materials
  • Advanced Multi-Objective Optimization Algorithms
  • Aeroelasticity and Vibration Control

Universidade de São Paulo
2015-2024

Brazilian Center for Research in Energy and Materials
2023

Universidade Estadual de Campinas (UNICAMP)
2018-2023

Brazilian Synchrotron Light Laboratory
2023

Universidade Federal de São Carlos
2003-2021

Universidade Brasil
2020

Universidad San Carlos
2015

Universidade Federal do Piauí
2013

Universidade Estadual do Centro-Oeste
2012

KU Leuven
2006-2009

There are major discussions about the vulnerability of protocols based on real-time Ethernet (RTE) and techniques for detecting anomalies. Thus, this work proposes a methodology anomalies by optimizing data extraction classifying traffic-related features. In order to cope with proposal, an artificial neural network (ANN)-based classifier is trained using selected relevant These features extracted variable sized sliding window according their correlation other expected output classifier. The...

10.1109/tii.2017.2772082 article EN IEEE Transactions on Industrial Informatics 2017-11-13

This work experimentally investigates a model-predictive motion planning strategy to impose oscillatory and undulation movements in macro fiber composite (MFC)-actuated robotic fish. Most of the results this field exploit sinusoidal input signals at resonance frequency, which reduces device's maneuverability. Differently, uses body/caudal fin locomotion patterns as references formulated model-based predictive control (MPC) scheme. open-loop scheme requires modeling device, is accomplished by...

10.1089/soro.2022.0061 article EN Soft Robotics 2023-03-23

A real-time optimization strategy can provide any system with a considerable boost in performance on the fly, which real-world applications be translated to lower energy consumption or higher efficiency. This study investigates particular case of using improve wing aerodynamic dynamically activated deflectable leading edge. Its activation aims minimize drag and maximize lift is governed by gradient-based optimization. An extension classic method suggested enhance gradient estimation...

10.1063/5.0185716 article EN Physics of Fluids 2024-01-01

SUMMARY Novel kinematic architectures can be alternatives for designing energy efficient robotic systems. In this work, the impact of redundancies in consumption a planar PKM, 3 PR RR manipulator, is experimentally verified. Because presence redundancies, inverse problem presents infinity solutions. way, redundancy resolution scheme based on Model Predictive Control technique proposed and exploited. It concluded that non-redundant parallel manipulator R executing predefined tasks...

10.1017/s026357471800005x article EN Robotica 2018-01-24

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper considers the simulation and optimization of mechatronic systems with configuration-dependent dynamics. A modeling methodology, able to capture varying dynamics embedded control system actions, using affine reduced models cosimulation, is proposed. In this way, can be evaluated during design phase. methodology applied a pick-and-place assembly robot an experimental validation carried...

10.1109/tmech.2008.2003957 article EN IEEE/ASME Transactions on Mechatronics 2008-12-01

Parallel manipulators present advantages compared to serial ones, such as higher load-carrying capacity, improved accuracy and increased stiffness. However, parallel possess limitations due the presence of singularities. It has been proved that kinematic actuation redundancy promote a significant reduction in singularities homogenization on forces. This paper evaluates effect addition energy efficiency manipulators. In order do so, required mechanical consumed by 3RRR non-redundant planar...

10.1115/imece2015-50278 article EN 2015-11-13

Kinematic redundancy may be an efficient way to improve the performance of parallel manipulators. Nevertheless, inverse kinematic problem this kind manipulator presents infinite solutions. The selection a single configuration among set many possible ones is denoted as resolution. While several resolution strategies have been proposed for planning motion redundant serial manipulators, suitable proposals manipulators are seldom. Redundancy can treated optimization that solved locally or...

10.1115/1.4036739 article EN Journal of Mechanisms and Robotics 2017-05-15
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