首页|Researchers from National Center for Scientific Research (CNRS) Report Recent Fi ndings in Robotics (Directional Critical Load Index: a Distance-to-instability M etric for Continuum Robots)

Researchers from National Center for Scientific Research (CNRS) Report Recent Fi ndings in Robotics (Directional Critical Load Index: a Distance-to-instability M etric for Continuum Robots)

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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Robotics have been pr esented. According to news reporting out of Nantes, France, by NewsRx editors, r esearch stated, "Equilibrium stability assessment is a primary issue in continuu m robots (CRs). The possible stable-to-unstable transitions that CRs may admit c omplicate the use of CRs in tasks where safety and human-robot interactions are mandatory." Financial support for this research came from Agence nationale pour le developpe ment de la recherche en sante (ANDRS). Our news journalists obtained a quote from the research from National Center for Scientific Research (CNRS), "In this context, metrics measuring the distance fr om instability are essential but rarely developed. Existing metrics are frequent ly based on the evaluation of matrices involving mixed units, thus resulting in unit-dependent metrics. Moreover, the physical meaning of existing metric is har d to interpretate. This article proposes to use the magnitude of a force that br ings instability to the CR equilibrium as a measure of the distance to instabili ty. The major advantages of this metric are the intrinsic physical meaning, the practical interpretation of the results, and the well-defined unit of the measur ements. The proposed metric (named directional critical load index) is based on the linearization of the eigenvalues of the reduced Hessian matrix of the total potential energy, which can be achieved regardless of the employed discretizatio n technique."

NantesFranceEuropeEmerging Technol ogiesMachine LearningNano-robotRoboticsNational Center for Scientific Re search (CNRS)

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.3)