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Benchmarking Force Control Algorithms

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Autor(es):
Vicario, Rudy ; Calanca, Andrea ; Dimo, Eldison ; Murr, Noe ; Meneghetti, Matteo ; Ferro, Rafael ; Sartori, Enrico ; Boaventura, Thiago
Número total de Autores: 8
Tipo de documento: Artigo Científico
Fonte: THE 14TH ACM INTERNATIONAL CONFERENCE ON PERVASIVE TECHNOLOGIES RELATED TO ASSISTIVE ENVIRONMENTS, PETRA 2021; v. N/A, p. 6-pg., 2021-01-01.
Resumo

Force control is nowadays a mature technology and it is becoming more and more common in robotic applications. A specific and significant example are robotic devices for rehabilitation. Despite this, an effective standardized and comprehensive method to assess force control performance does not exist. Defining the performance of a force-controlled system is not a trivial task, and one of the reasons is that performance does not only depend on the dynamics of the robot, but also on the dynamics of the environment, which are usually uncertain and time-varying. Exerting a force on a soft environment is different from exerting a force on a rigid environment. Indeed, the same force-controlled robot can have different force responses in different environments. This paper proposes a methodology to standardize the benchmarking of force control algorithms applied to different actuation architectures and considering a wide set of possible environments and disturbances, defined by the application of interest. (AU)

Processo FAPESP: 18/15472-9 - Controle de impedância de atuadores hidráulicos para robôs com pernas e braços
Beneficiário:Thiago Boaventura Cunha
Modalidade de apoio: Auxílio à Pesquisa - Jovens Pesquisadores