We have created an inchworm robot capable of the two-anchor crawl gait on level ground and inclined plane. The main novelty is in the design of the inchworm： （1） three-part body that is 3D printed and actuated by t...We have created an inchworm robot capable of the two-anchor crawl gait on level ground and inclined plane. The main novelty is in the design of the inchworm： （1） three-part body that is 3D printed and actuated by two servo motors to allow a looping and lengthening action, （2） passive friction pads to anchor the feet, each of which may be disengaged using a servo motor actuated lever arm, and （3） modular body and electronics. The robot is about 2 feet （61 cm） in length, has a mass of about 4 kg, and uses an open-loop controller to achieve steady crawling gait. The inchworm robot achieved a speed of 2.54 em.sI on level ground as well as on an incline plane of 19~. The energy usage as measured by the Mechanical Cost of Transport （a non-dimensional number defined as the energy used per unit weight per unit distance moved） is 3.34. Our results indicate that simple robotic designs that copy the basic features of natural organisms provide a promising alternative over conventional wheeled robots.展开更多
提出了一种基于反馈控制和贪婪决策的四足机器人爬行步态规划算法。该算法利用机载惯性传感器IMU(Inertial Measurement Unit)来实时计算零力矩点和姿态角,以稳态裕度为指标在支撑平面内实时规划期望零力矩点(Zero Moment Point,ZMP)轨...提出了一种基于反馈控制和贪婪决策的四足机器人爬行步态规划算法。该算法利用机载惯性传感器IMU(Inertial Measurement Unit)来实时计算零力矩点和姿态角,以稳态裕度为指标在支撑平面内实时规划期望零力矩点(Zero Moment Point,ZMP)轨迹,结合非线性反馈控制器实现对机体ZMP点的连续平滑调节,保证机器人在按给定速度矢量进行连续爬行的同时具有抵抗一定外力扰动的能力。步态规划采用动态步态周期,基于机器人结构约束和贪婪决策实现跨腿的自动触发,提高了步态自适应性。最终通过样机行走实验验证了所提算法应用于微型四足机器人中的可行性,机器人实现了在平坦地面上稳定地全向行走和旋转,所提算法同时兼顾了自适应性和稳定裕度。展开更多
为了实现四足机器人在无崎岖地形先验知识情况下的自主爬行,提出了一种四足机器人运动控制方法.该方法采用间歇爬行步态作为主步态,将爬行运动分解为若干任务分别进行控制:基于NESM(normalized energy stability margin)判据计算内外倾...为了实现四足机器人在无崎岖地形先验知识情况下的自主爬行,提出了一种四足机器人运动控制方法.该方法采用间歇爬行步态作为主步态,将爬行运动分解为若干任务分别进行控制:基于NESM(normalized energy stability margin)判据计算内外倾的稳定裕度并根据其比值进行质心位置调整;使用坐标映射的方式调整足端坐标进行地面坡度适应;通过调整各腿长度控制机器人的高度;利用姿态传感器信息进行姿态恢复.仿真和实验表明,机器人仅依赖内部传感器即实现了在崎岖地形稳定行走,验证了本文方法的有效性和可靠性.展开更多
基金This work was partially supported by the United States National Science Foundation through the grant 1566463 to P. A. Bhounsule.
文摘We have created an inchworm robot capable of the two-anchor crawl gait on level ground and inclined plane. The main novelty is in the design of the inchworm： （1） three-part body that is 3D printed and actuated by two servo motors to allow a looping and lengthening action, （2） passive friction pads to anchor the feet, each of which may be disengaged using a servo motor actuated lever arm, and （3） modular body and electronics. The robot is about 2 feet （61 cm） in length, has a mass of about 4 kg, and uses an open-loop controller to achieve steady crawling gait. The inchworm robot achieved a speed of 2.54 em.sI on level ground as well as on an incline plane of 19~. The energy usage as measured by the Mechanical Cost of Transport （a non-dimensional number defined as the energy used per unit weight per unit distance moved） is 3.34. Our results indicate that simple robotic designs that copy the basic features of natural organisms provide a promising alternative over conventional wheeled robots.
文摘提出了一种基于反馈控制和贪婪决策的四足机器人爬行步态规划算法。该算法利用机载惯性传感器IMU(Inertial Measurement Unit)来实时计算零力矩点和姿态角,以稳态裕度为指标在支撑平面内实时规划期望零力矩点(Zero Moment Point,ZMP)轨迹,结合非线性反馈控制器实现对机体ZMP点的连续平滑调节,保证机器人在按给定速度矢量进行连续爬行的同时具有抵抗一定外力扰动的能力。步态规划采用动态步态周期,基于机器人结构约束和贪婪决策实现跨腿的自动触发,提高了步态自适应性。最终通过样机行走实验验证了所提算法应用于微型四足机器人中的可行性,机器人实现了在平坦地面上稳定地全向行走和旋转,所提算法同时兼顾了自适应性和稳定裕度。
文摘为了实现四足机器人在无崎岖地形先验知识情况下的自主爬行,提出了一种四足机器人运动控制方法.该方法采用间歇爬行步态作为主步态,将爬行运动分解为若干任务分别进行控制:基于NESM(normalized energy stability margin)判据计算内外倾的稳定裕度并根据其比值进行质心位置调整;使用坐标映射的方式调整足端坐标进行地面坡度适应;通过调整各腿长度控制机器人的高度;利用姿态传感器信息进行姿态恢复.仿真和实验表明,机器人仅依赖内部传感器即实现了在崎岖地形稳定行走,验证了本文方法的有效性和可靠性.
