In this paper , the unilaterally constrained motions of a large class of rigid bodiessystems are studied both locally and globally. The main conclusion is that locally,such a system bahaves like a particle in a R...In this paper , the unilaterally constrained motions of a large class of rigid bodiessystems are studied both locally and globally. The main conclusion is that locally,such a system bahaves like a particle in a Riemannian manifold with boundary;globally.under the assumption of energy conservation, the system behaves like a billiards system over a Riemannina manifold with boundary展开更多
The Mei symmetry and the Mei conserved quantity of Appell equations in a dynamical system of relative motion with non-Chetaev nonholonomic constraints are studied.The differential equations of motion of the Appell equ...The Mei symmetry and the Mei conserved quantity of Appell equations in a dynamical system of relative motion with non-Chetaev nonholonomic constraints are studied.The differential equations of motion of the Appell equation for the system,the definition and the criterion of the Mei symmetry,and the expression of the Mei conserved quantity deduced directly from the Mei symmetry for the system are obtained.An example is given to illustrate the application of the results.展开更多
In this paper, a novel adaptive fuzzy control scheme is presented. The controller is constructed by using a table lookup scheme and self tuning techniques, which includes the identification block, the fuzzification,...In this paper, a novel adaptive fuzzy control scheme is presented. The controller is constructed by using a table lookup scheme and self tuning techniques, which includes the identification block, the fuzzification, the updating rule base, the defuzzification, and the crisp controller (sub controller), etc. The adaptive fuzzy controller is designed in detail by means of a triangular membership function and the center of gravity method. The control scheme addressed here is implemented to control the motion of the end effector of a two link constrained flexible manipulator. Computer simulation results show that the novel adaptive fuzzy control scheme works quite well.展开更多
为解决在训练物体六自由度位姿估计神经网络时,人工标注真实场景数据集困难的问题,提出一种自动生成大量单目六自由度位姿估计数据集的方法,可提高数据集标注效率和精度。考虑采集图象环境的光照、物体遮挡等条件,以单目RGB相机、物体...为解决在训练物体六自由度位姿估计神经网络时,人工标注真实场景数据集困难的问题,提出一种自动生成大量单目六自由度位姿估计数据集的方法,可提高数据集标注效率和精度。考虑采集图象环境的光照、物体遮挡等条件,以单目RGB相机、物体三维模型作为输入,在运动恢复结构(structure form motion,SfM)算法框架中添加尺度先验信息约束,实现在真实场景快速生成大量用于六自由度位姿估计训练的数据集。以生活用品为例,分别制作无遮挡、有遮挡数据集,与现有六自由度位姿估计数据集作对比,使用神经网络算法验证根据该方法制作出数据集的可行性与有效性。展开更多
文摘In this paper , the unilaterally constrained motions of a large class of rigid bodiessystems are studied both locally and globally. The main conclusion is that locally,such a system bahaves like a particle in a Riemannian manifold with boundary;globally.under the assumption of energy conservation, the system behaves like a billiards system over a Riemannina manifold with boundary
基金Project supported by the National Natural Science Foundation of China (Grant No. 11142014 and 61178032)
文摘The Mei symmetry and the Mei conserved quantity of Appell equations in a dynamical system of relative motion with non-Chetaev nonholonomic constraints are studied.The differential equations of motion of the Appell equation for the system,the definition and the criterion of the Mei symmetry,and the expression of the Mei conserved quantity deduced directly from the Mei symmetry for the system are obtained.An example is given to illustrate the application of the results.
文摘In this paper, a novel adaptive fuzzy control scheme is presented. The controller is constructed by using a table lookup scheme and self tuning techniques, which includes the identification block, the fuzzification, the updating rule base, the defuzzification, and the crisp controller (sub controller), etc. The adaptive fuzzy controller is designed in detail by means of a triangular membership function and the center of gravity method. The control scheme addressed here is implemented to control the motion of the end effector of a two link constrained flexible manipulator. Computer simulation results show that the novel adaptive fuzzy control scheme works quite well.
文摘为解决在训练物体六自由度位姿估计神经网络时,人工标注真实场景数据集困难的问题,提出一种自动生成大量单目六自由度位姿估计数据集的方法,可提高数据集标注效率和精度。考虑采集图象环境的光照、物体遮挡等条件,以单目RGB相机、物体三维模型作为输入,在运动恢复结构(structure form motion,SfM)算法框架中添加尺度先验信息约束,实现在真实场景快速生成大量用于六自由度位姿估计训练的数据集。以生活用品为例,分别制作无遮挡、有遮挡数据集,与现有六自由度位姿估计数据集作对比,使用神经网络算法验证根据该方法制作出数据集的可行性与有效性。
