Learning to fall: Designing low damage fall sequences for humanoid soccer robotsReport as inadecuate




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Resumen

A methodology for the analysis and design of fall sequences of robots that minimize joint-articulationinjuries, and the damage of valuable body parts is proposed. These fall sequences can beactivated-triggered by the robot in case of a detected unintentional fall or an intentional fall, which arecommon events in humanoid soccer environments. The methodology is human-based and requires theuse of a realistic simulator as development tool. The obtained results show that fall sequences designedusing the proposed method produce less damage than standard, uncontrolled falls.Nota general

Artículo de publicación ISI



Author: Ruiz del Solar, Javier; - Palma Amestoy, Rodrigo; - Marchant, Román; - Parra Tsunekawa, Sebastián Isao; - Zegers, Pablo; -

Source: http://repositorio.uchile.cl/



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