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首页> 外文期刊>Advanced Robotics: The International Journal of the Robotics Society of Japan >Reconfiguration Planning for a Robotic Vehicle with Actively Articulated Suspension in Obstacle Terrain during Straight Motion
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Reconfiguration Planning for a Robotic Vehicle with Actively Articulated Suspension in Obstacle Terrain during Straight Motion

机译:直线运动中具有主动铰接式悬架在障碍地形中的机器人车辆的重新配置规划

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摘要

In this paper, an actively articulated suspension (AAS) reconfiguration method is proposed for a robotic vehicle with AAS to negotiate an obstacle during straight motion. Proposed method includes AAS locomotion for the locomotion with the AAS and a calculation method that is independent to the terrain model for posture control using the AAS reconfiguration. Using simulations, it was verified that the proposed method can reconfigure the AAS for a robotic vehicle to have the desired position and posture to negotiate an obstacle. The errors of height and orientation can be reduced while wheel driving on rough terrain. Also, the robot can maintain a minimum static stability angle over 0.6 rad. When observing the obstacle negotiation procedure using the AAS reconfiguration including the proposed locomotion, it was found that the robot can conduct a high-level command successfully using the proposed method. The robot can negotiate an obstacle with a height of 71% of its usable length and can maintain the minimum static stability over 0.3 rad. Also, the robot can manage terrain uncertainty using the proposed AAS reconfiguration method.
机译:本文提出了一种主动铰接式悬架(AAS)重构方法,该方法用于带有AAS的机器人车辆在直线运动中协商障碍物。提出的方法包括用于通过AAS进行运动的AAS运动和一种独立于地形模型的计算方法,用于使用AAS重新配置进行姿态控制。通过仿真,验证了所提出的方法可以重新配置自动驾驶汽车的AAS,使其具有协商障碍物所需的位置和姿势。在崎rough的地形上行驶时,可以减少高度和方向的误差。而且,机器人可以在0.6 rad上保持最小的静态稳定角。当使用包括拟议的运动的AAS重新配置观察障碍物协商程序时,发现机器人可以使用拟议的方法成功地执行高级命令。机器人可以越过障碍物的高度达到其可用长度的71%,并且可以在0.3 rad以上的范围内保持最小的静态稳定性。此外,机器人可以使用提出的AAS重新配置方法来管理地形不确定性。

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