搜索资源列表
robot
- Robotics TOOLBOX The Toolbox provides many functions that are useful in robotics including such things as kinematics, dynamics, and trajectory generation. The Toolbox is useful for simulation as well as analyzing results from experiments with r
KF_Plot_Result
- 机器人运行轨迹描绘程序1，利用雅可比矩阵估计进行动态分析-Robot trajectory depicts the procedure to run 1, using the estimated Jacobian matrix for dynamic analysis
PF_Plot_Result
- 机器人运行轨迹描绘的第二种方法，可以根据数据画出各种运行轨迹-Running robot trajectory described second method, based on the data to draw a variety of running track
jiqi
- 机器手末端轨迹规划程序.rar-Robot trajectory planning for the end of the procedure. Rar
neural_network
- 基于神经网络的乒乓球机器人乒乓球轨迹预测代码，神经网络的参数可能有待进一步改进-code of PingPong Robot trajectory predicting based on neural network
neural-simulation
- 运用计算力矩法仿真控制，使漂浮空间机器人关节轨迹跟踪给定的期望轨迹。-By using the computational method simulation control, that moment floating space robot joints trajectory tracking of the given desired trajectory.
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- 提出了一种新的模糊遗传算法(GA)的方法来解决问题的轨迹规划两个合作共享一个公共的机器人避障工作场所,在机械手必须考虑对方作为一个移动的轨迹或者行为障碍是未知的和不可预知的,因为每一个都有各自的目标和机械手都有相同的优先权。 -This paper presents a novel fuzzy genetic algorithm (GA) approach to tackling the problem of trajectory planning of two collaborat
Robot-inversion-movement
- 设计一个用于解决两关节机械手的反演运动学问题的前馈网络，要求末端执行器的运动轨迹是一条直线.-Design a feedforward network is used to solve the two-joint robot inverse kinematics problem, requirements of the end-effector trajectory is a straight line.
Robotic-trajectory
- matlab机器人 生成空间轨迹包络图 形成2个完整的包络图-matlab generating space robot trajectory envelope forming two complete envelope
6DOF-Trajectory-Planning
- 通过对六自由度机械臂的轨迹规划的具体分析!基于其运动学模型的算法的模拟实现!关节空间中的轨迹规化等方面的全过程的研究,阐述了机器人轨迹规划的一般规律"运用的规划方法可以很好解决在机械臂在工作过程中的平稳性,以及控制时的实时性和精确性等矛盾问题" -Through the six degrees of freedom manipulator trajectory planning of specific analysis! Algorithm based on its kinematic mo
Trajectory-Planning
- 机器人的轨迹跟踪控制方法，包括控制程序代码和说明-Robot trajectory tracking control method, control program code
A 算法的机器人路径规划代码
- 可以用于移动机器人的轨迹规划研究，仿真，这是MATLAB代码(It can be used for trajectory planning of mobile robot)