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Experimental Study on Shared-Control of a Mobile Robot via a Haptic Device with an Optimal Velocity Obstacle Based Receding Horizon Control Approach

机译:具有最优速度障碍的后退地平线控制方法的触觉装置对移动机器人共用控制的实验研究

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This paper addresses shared-control of a single mobile robot in an unknown environment via a Haptic device in order to have a collision-free motion and damp the system's oscillations. Employing the receding horizon concept in order to meet the controlling criteria and using the approximated non-convex constraints to ensure the near-optimality of the proposed method lead to introducing an applicable algorithm. In this regard, the velocity obstacle concept is considered as avoiding constraint for the employed receding horizon method in the motion planning unite and the proposed optimization problem is solved by the mixed integer linear programming approach. Along with the aforementioned unite, the impedance methodology is employed in order to control the Haptic device as the master controller. For the sake of tuning the controller parameters and alleviating the plausible oscillations in the control states, the oscillation number index is utilized. The obtained experimental and simulation results reveal the fact that the proposed algorithm in the fully autonomous manner outperforms its prior counterparts such as conventional potential field with genetic algorithm. The implementation results of the extended algorithm in order to perform a shared-control of a Falcon Haptic device and an Epuck mobile robot are presented.
机译:本文通过触觉设备解决了在未知环境中的单个移动机器人的共享控制,以便自由碰撞运动并抑制系统的振荡。采用后退地平线概念为了满足控制标准并使用近似的非凸约束,以确保所提出的方法的近乎最优,导致推出适用的算法。在这方面,速度障碍物概念被认为是避免用于在运动规划联合中采用的后退地平线方法的限制,并且通过混合整数线性编程方法解决了所提出的优化问题。随着上述联合,采用阻抗方法来控制触觉设备作为主控制器。为了调整控制器参数并减轻控制状态中的合理振荡,利用振荡数索引。所获得的实验和仿真结果揭示了本所提出的算法以完全自主方式的算法优于其先前的对应物,例如遗传算法等传统潜在场。呈现扩展算法的实现结果,以便执行猎鹰触觉设备和夹克移动机器人的共享控制。

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