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Bounded haptic teleoperation of a quadruped robot’s foot posture for sensing and manipulation

机译:四足机器人脚姿的有界触觉遥控操作,用于感测和操纵

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This paper presents a control framework to teleoperate a quadruped robot’s foot for operator-guided haptic exploration of the environment. Since one leg of a quadruped robot typically only has 3 actuated degrees of freedom (DoFs), the torso is employed to assist foot posture control via a hierarchical whole-body controller. The foot and torso postures are controlled by two analytical Cartesian impedance controllers cascaded by a null space projector. The contact forces acting on supporting feet are optimized by quadratic programming (QP). The foot’s Cartesian impedance controller may also estimate contact forces from trajectory tracking errors, and relay the force-feedback to the operator. A 7D haptic joystick, Sigma.7, transmits motion commands to the quadruped robot ANYmal, and renders the force feedback. Furthermore, the joystick’s motion is bounded by mapping the foot’s feasible force polytope constrained by the friction cones and torque limits in order to prevent the operator from driving the robot to slipping or falling over. Experimental results demonstrate the efficiency of the proposed framework.
机译:本文提出了一种控制框架,用于遥控四足机器人的脚,以操作员指导的环境触觉探索。由于四足机器人的一条腿通常仅具有3个致动的自由度(DoF),因此躯干可通过分层的全身控制器来辅助脚部姿势控制。脚和躯干姿势由两个由零空间投影仪级联的分析笛卡尔阻抗控制器控制。通过二次编程(QP)优化作用在支撑脚上的接触力。脚的笛卡尔阻抗控制器还可以根据轨迹跟踪误差估算接触力,并将力反馈传递给操作员。 7D触觉操纵杆Sigma.7将运动命令传输到四足机器人ANYmal,并提供力反馈。此外,操纵杆的运动通过映射受摩擦锥和扭矩限制约束的脚的可行力多面体来限制,以防止操作员驾驶机器人滑倒或跌倒。实验结果证明了所提出框架的有效性。

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