智能滑雪板训练指导系统的研究

为解决冰雪爱好者对滑雪教练的需求，设计出一种基于STM32为核心控制的智能滑雪教练系统。采用零力矩点判定平衡方法来评价用户实时的滑雪状态，决策生成相适应的滑雪指导。经过模拟实验表明，该系统可实现实时姿态采集、动态评价、预先决策，为使用者提供稳定可靠的滑雪指导。     

蛇形机器人抬头运动分析

蛇形机器人需要抬头运动来获得环境信息。本文将蛇形曲线的蜿蜒运动步伐函数作适当改进后应用到蛇形机器人的抬头运动中,实现了蛇形机器人的动态抬头规划,并建立了动力学方程,对抬头运动的动力学作了分析。对抬头过程中ZMP的分析证明了运动规划的有效性。最后用仿真和实验验证了所提出的理论。     

人形机器人建模与步态规划

目前人形机器人控制的难点主要集中在:关节扭矩不够,运动稳定性不佳等方面。针对以上问题,提出了以下解决方案:针对关节扭矩不够选取了大扭矩电动机的同时,采用三次样条差值使运动轨迹更加平滑,减小输出扭矩。采用ZMP来观察运动轨迹,改善运动的稳定性。同时,由于人形机器人运动稳定性不佳,容易摔倒,使用ODE物理引擎在Labview中建模与仿真,进行更加方便的进行步态规划的研究。最终实现了仿真平台下人形机器人的稳定行走。     

基于ZMP法的仿袋鼠跳跃机器人着地阶段运动稳定性分析

基于仿袋鼠跳跃机器人五刚体机构模型,运用拉格朗日法,建立了跳跃机器人系统着地阶段的动力学方程,采用ZMP法研究了仿袋鼠弹跳机器人的运动稳定性,提出了其着地运动稳定裕度的计算方法和判据;采用Matlab仿真工具,结合实例分析,对机器人着地阶段各关节驱动力矩以及ZMP点的变化情况进行了仿真,并提出了改进刚性模型着地运动稳定性的方法。仿真结果表明:ZMP法在此模型上分析是有效的。     

Stability Criterion of Biped Robot on Rough Terrain

This paper presents a stability criterion for biped robots on rough terrain. On rough terrain, which is not perpendicular to gravity, a robot may not fall even though its center of mass is out of the area of the supported polygon defined by the conventional VHP (virtual horizontal plane) method. This is because there exists a certain force opposing the torque that causes the robot to fall down. We propose a new measure for strictly judging the limit of falling considering all the forces acting on the contact points. Numerical simulations and experimental results are also shown, which verify the proposed method.     

双足机器人拟人步行模式研究

根据双足步行机器人具有拟人腿的特点,通过对人体步行样式的分析,采用三次多项式计算方法规划步行机器人在一个完整行走周期里拟人稳态步行模式,分别建立hip、knee和ankle关节在前向模型中的轨迹曲线方程。并通过建立、分析和简化其动力学模型验算步行模式的ZMP轨迹的稳定性,提出保证步行模式稳定性的ZMP边界约束条件。最后对稳态步行模式进行仿真描述和相应实验,仿真和实验结果表明其具有很好的连续性和平滑性。     

双足足球机器人行走步态研究

为了研究双足足球机器人行走时步态的连续性和稳定性，首先提出了双足足球机器人的体系结构，然后给出了基本步态算法，增加了行进中步态校正策略，包括动态和静态步伐的校正．解决了动、静态行走时步态的准确性和鲁棒性．试验数据验证了步态方程和步态校正策略能够适应FIRA比赛要求．     

Optimization‐based dynamic human walking prediction: One step formulation

A new methodology is introduced in this work to simulate normal walking using a spatial digital human model. The proposed methodology is based on an optimization formulation that minimizes the dynamic effort of people during walking while considering associated physical and kinematical constraints. Normal walking is formulated as a symmetric and cyclic motion. Recursive Lagrangian dynamics with analytical gradients for all the constraints and objective function are incorporated in the optimization process. Dynamic balance of the model is enforced by direct use of the equations of motion. In addition, the ground reaction forces are calculated using a new algorithm that enforces overall equilibrium of the human skeletal model. External loads on the human body, such as backpacks, are also included in the formulation. Simulation results with the present methodology show good correlation with the experimental data obtained from human subjects and the existing literature. Copyright © 2009 John Wiley & Sons, Ltd.     

基于遗传算法优化的仿人足球机器人步态规划研究

针对机器人足球比赛的特点及实现仿人足球机器人稳定快速步行的要求,提出了一种基于遗传算法优化的步态规划方法。首先,分析了仿人足球机器人一个完整步行周期的运动过程,根据步行中髋关节运动连续和踝关节运动间断的特点,分别采用三次样条插值与高次多项式插值进行了轨迹插值;其次,以零力矩点（ZMP）稳定裕度为参数构造了目标函数;最后,利用遗传算法（GA）对规划的步态进行了优化,从而得到了ZMP稳定裕度相对较大的稳定步态。仿真结果表明,该方法规划的步态能实现仿人足球机器人更稳定地步行。     

A control method based on modal transformation for biped robots to climb unknown steps

This paper proposes a control method based on a modal transformation for biped robots to climb unknown steps. The method is able to control the foot position of the biped robot and the ground reaction force acting in the vertical direction when the biped robot climbs unknown steps in a double support phase. The effectiveness of the proposed method is confirmed by the results of simulations and experiments. © 2012 Wiley Periodicals, Inc. Electr Eng Jpn, 181(3): 59‐69, 2012; Published online in Wiley Online Library ( wileyonlinelibrary.com ). DOI 10.1002/eej.21265