Department of Mechanical Systems Engineering, Nagoya University, Nagoya, Aichi, Japan.
PLoS One. 2020 Feb 24;15(2):e0229150. doi: 10.1371/journal.pone.0229150. eCollection 2020.
Physical assistant robots improve the user's ability to walk. However, they also potentially affect recovery motion following tripping. The assist algorithm should not interfere with the recovery motion, and should enhance the ability of the user to recover after tripping. Thus, in this study, we investigated the recovery motion affected by the assist robot after tripping. We compared the recovery motion with different reaction algorithms. Principal component analysis revealed the effects of the reaction algorithm. Correspondingly, principal components were related to the recovery motion during two steps following tripping. Specifically, the effects of the reaction algorithm were related to a principal component that represented the motion of the second step after tripping and that increased the margin of stability. Furthermore, the margin of stability became significantly large when the assistive torque was applied during the recovery motion. The result of this study suggests that the assist robot can potentially enhances the recovery motion of its user following tripping.
物理辅助机器人可以提高用户的行走能力。然而,它们也可能会影响绊倒后的恢复动作。辅助算法不应干扰恢复动作,而应增强用户在绊倒后的恢复能力。因此,在这项研究中,我们研究了绊倒后辅助机器人对恢复动作的影响。我们比较了不同反应算法的恢复动作。主成分分析揭示了反应算法的影响。相应地,主成分与绊倒后两步的恢复运动有关。具体来说,反应算法的影响与代表绊倒后第二步运动的主成分有关,该主成分增加了稳定性裕度。此外,当在恢复运动期间施加辅助扭矩时,稳定性裕度显著增大。本研究的结果表明,辅助机器人可以潜在地增强用户在绊倒后的恢复运动能力。