机械专业硕士毕业论文摘要
本文针对机器人运动规划问题，提出了一种基于遗传算法和神经网络的混合方法。该方法通过遗传算法的优化过程，得到最优的运动规划策略，同时利用神经网络对策略进行预测和优化，提高了策略的实用性和准确性。实验结果表明，该混合方法在机器人运动规划领域具有较高的效率和较好的性能。
关键词：机器人，运动规划，遗传算法，神经网络，混合方法
Abstract:
This paper proposes a mixed method of genetic algorithm and neural network for solving the problem of robot motion planning. The method uses genetic algorithm to optimize the motion plan while using neural network to predict and optimize the plan. The experimental results show that the mixed method has a high efficiency and good performance in the field of robot motion planning.
Keywords: robot, motion planning, genetic algorithm, neural network, mixed method