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Hybrid adaptive strategies for lower limb exoskeletons

Grant number: 19/05937-7
Support type:Regular Research Grants
Duration: May 01, 2020 - October 31, 2022
Field of knowledge:Engineering - Mechanical Engineering
Principal researcher:Adriano Almeida Gonçalves Siqueira
Grantee:Adriano Almeida Gonçalves Siqueira
Home Institution: Escola de Engenharia de São Carlos (EESC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Assoc. researchers: Anselmo Frizera Neto ; Antonio Padilha Lanari Bo ; Glauco Augusto de Paula Caurin ; Marcela de Abreu Silva Couto ; Thiago Luiz de Russo ; Wilian Miranda dos Santos

Abstract

This research project proposes to develop and evaluate hybrid adaptive strategies for the robotic rehabilitation of walking, using adaptive control algorithms and new interfaces of communication and interaction between the user and the robotic devices, such as, for example, Functional Electrical Stimulation (FES) and Virtual Reality (VR). Specifically, we intend to develop an integrated system of VR and exoskeletons for lower limbs, considering walking on treadmill and over ground. This system will be used in conjunction with the systems for identification of the phases of walking and estimation of muscle fatigue to provide necessary information for the FES adaptive control system. The latter system will work in conjunction with the variable impedance control of the exoskeleton to support walking and promote motor rehabilitation. The estimation algorithms and hybrid adaptive strategies will be evaluated with healthy volunteers and with patients with sequelae due to stroke or incomplete spinal cord injury. (AU)

Articles published in Pesquisa FAPESP Magazine about the research grant:
Robots que ayudan a caminar 
Robots as walking aids 
Articles published in Agência FAPESP Newsletter about the research grant:
Articles published in other media outlets (0 total):
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VEICULO: TITULO (DATA)

Scientific publications (4)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
NUNES, POLYANA F.; OSTEN, ICARO; SIQUEIRA, ADRIANO A. G.. Evaluation of Motor Primitive-Based Adaptive Control for Lower Limb Exoskeletons. FRONTIERS IN ROBOTICS AND AI, v. 7, . (19/05937-7)
PEREZ-IBARRA, JUAN C.; SIQUEIRA, ADRIANO A. G.; KREBS, HERMANO I.. Identification of Gait Events in Healthy and Parkinson's Disease Subjects Using Inertial Sensors: A Supervised Learning Approach. IEEE SENSORS JOURNAL, v. 20, n. 24, p. 14984-14993, . (19/05937-7, 15/50376-2)
ESCALANTE, FELIX M.; JUTINICO, ANDRES L.; JAIMES, JONATHAN C.; TERRA, MARCO H.; SIQUEIRA, ADRIANO A. G.. Markovian Robust Filtering and Control Applied to Rehabilitation Robotics. IEEE-ASME TRANSACTIONS ON MECHATRONICS, v. 26, n. 1, p. 491-502, . (11/04074-3, 14/50851-0, 13/14756-0, 19/05937-7)
DE GAITANI, F. H. M.; DOS SANTOS, W. M.; SIQUEIRA, A. A. G.. Design and Performance Analysis of a Compact Series Elastic Actuator for Exoskeletons. JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS, . (19/23413-5, 19/05937-7)

Please report errors in scientific publications list by writing to: cdi@fapesp.br.