关于飞行力学的再思考

对多年来国内外有关飞行力学的发展过程、研究范畴、分类，以及问题表述方式等重新进行了一些考察和思考．从学术和实践的观点，对飞行力学的体系结构和问题表述方式等进行了讨论，并提出了个人的一些看法和建议．     

Nonholonomic Mobile Manipulators: Kinematics, Velocities and Redundancies

We consider nonholonomic mobile manipulators built from an n _a joint robotic arm and a nonholonomic mobile platform with two independently driven wheels. Actually, there is no efficient kinematic formalism for these systems which are generally characterized by their high number of actuators. So, kinematic modelling is presented with particular emphasis on redundancy. Whereas kinematic redundancy is well known in the holonomic case, it is pointed out that it is necessary to define velocity redundancy in the case of nonholonomic systems. Reduced velocity kinematics based on quasi-velocities are shown to provide an efficient formalism. Two examples of mobile manipulators are presented. Finally, reduced velocity kinematics and velocity redundancy are shown to be adequate tools in order to realize operational task while optimizing criteria such as manipulability.     

基于旋量和臂形标志的机器人运动学逆解计算

讨论了用旋量和指数积公式计算PUMA类型6自由度机器人运动学逆解的方法。在子问题的计算过程中，通过引入臂形标志来选取关节变量的合理解，以得到运动学逆解的唯一解。这种方法避免了对无效解的计算，可以减少计算量，提高计算效率。通过一个实验机器人的运动学逆解计算验证了算法的有效性。     

利用AutoCAD求解机构运动学和动力学问题

提出采用AutoCAD求解机构运动学和动力学问题,并结合实例给出了方法与步骤。 此求解法既有图解法简单明了的特点,又能满足了现代机械设计对运动分析和动力分析的高精度 的要求,具有较高的可靠性和实用性。     

绳牵引刚柔式波浪补偿并联机构的设计与建模

为了减少海上集装箱货物运输中风浪造成的损坏,提出刚柔混合驱动主动式波浪补偿并联机构. 基于刚柔混合并联机构的动定平台的矩阵旋转原理和几何封闭法建立位置逆解数学模型;利用空间几何原理构建机构位置正解数学模型;利用求导法则对位置逆解进行求导,建立速度雅可比矩阵与加速度的二阶影响矩阵;基于绳子是柔性变形体推导出系统刚度矩阵,探究影响系统刚度的因素和增加系统刚度的原则. 利用数值模拟仿真对运动学和系统刚度进行验证,结果表明位置正逆解的输入输出误差不超过实际误差的2.25%;发现理论仿真曲线和样机仿真曲线较吻合,误差不超过7.4%,验证了运动学模型的正确性;根据刚度矩阵发现刚度影响因素对系统刚度的影响规律. 通过对绳驱动刚柔混合驱动波浪补偿并联机构的实验验证,发现该机构的补偿效果均高于90%. 证明研究结果为刚柔混合主动式波浪补偿并联机构的运动和机构设计提供了理论支持.     

A simple method to solve the forward displacement analysis of the general six-legged parallel manipulator

In this work a simple method to solve the forward displacement analysis of the general 6-6 fully parallel manipulator is applied. The method is based on generating closure equations upon the unknown coordinates of three points embedded to the moving platform. The method is easy to follow and it is available for both, planar and three-dimensional moving platforms. Numerical examples are included with the purpose to show the application of the method.     

Grasping objects localized from uncertain point cloud data

Robotic grasping is very sensitive to how accurate is the pose estimation of the object to grasp. Even a small error in the estimated pose may cause the planned grasp to fail. Several methods for robust grasp planning exploit the object geometry or tactile sensor feedback. However, object pose range estimation introduces specific uncertainties that can also be exploited to choose more robust grasps. We present a grasp planning method that explicitly considers the uncertainties on the visually-estimated object pose. We assume a known shape (e.g. primitive shape or triangle mesh), observed as a–possibly sparse–point cloud. The measured points are usually not uniformly distributed over the surface as the object is seen from a particular viewpoint; additionally this non-uniformity can be the result of heterogeneous textures over the object surface, when using stereo-vision algorithms based on robust feature-point matching. Consequently the pose estimation may be more accurate in some directions and contain unavoidable ambiguities.The proposed grasp planner is based on a particle filter to estimate the object probability distribution as a discrete set. We show that, for grasping, some ambiguities are less unfavorable so the distribution can be used to select robust grasps. Some experiments are presented with the humanoid robot iCub and its stereo cameras.     

数字皮影动画脚本的研究与应用

为简化数字皮影动画的制作流程,提高数字皮影作品的交互性,降低数字皮影实时表演的难度,对皮影常见角色及动作进行了抽象、分类,提出一种针对特定类型的通用的骨骼模型。基于反向动力学,设计了一套描述皮影骨骼动画的脚本。该脚本通过对骨骼位置与旋转属性的控制定义皮影角色的基本动作,并通过对基本动作的叠加实现复杂动作。脚本对动作的定义基于骨骼模型而非具体角色,具有通用性。最后通过实验证明了脚本的有效性。     

基于MATLAB的模块化机器人手臂运动学算法验证及运动仿真

针对由模块化关节构成的六自由度串联机器人手臂, 采用DH法对手臂的操作空间进行了描述, 得到了正运动学模型; 采用欧拉角表示手臂姿态, 得到了包含六个参数的用于表示手臂位姿的完备广义坐标, 并对欧拉角的几何关系进行了分析。针对SolidWorks虽然实体建模简洁方便但计算并非其强项的缺点, 编写相应接口程序, 将建立的手臂三维实体模型保留几何约束关系简化后导入MATLAB软件。基于MATLAB编写正逆运动学算法验证程序以及连杆驱动程序, 实现了手臂的仿真运动。通过仿真, 不仅更进一步验证了手臂正逆运动学解算的正确性, 而且非常直观地看出手臂末端在空间中运行的路径以及各关节的动作情况。机器人手臂正逆运动学算法正确性的验证及运动仿真为手臂的精确定位及其路径规划提供了必要的保证。