SUMMARYIn this paper, a novel dynamic navigational planning strategy is proposed for single as well as multiple humanoids in intricate environments on a glowworm-based optimization method. The sensory information regarding the obstacle distances and target information are supplied as inputs to the navigational model. The essential turning angle is generated as the output of the controller to avoid obstacles present in the environment and reach the target location with ease. The proposed model is certified in a V-REP simulation software, and the simulation results are authenticated in a real-time setup arranged under testing conditions.

中文翻译：

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基于萤火虫的人形机器人动态策略规划

摘要在本文中，基于萤火虫的优化方法，针对复杂环境中的单个和多个类人机器人提出了一种新颖的动态导航规划策略。有关障碍物距离和目标信息的感官信息作为导航模型的输入提供。产生必要的转向角作为控制器的输出，以避开环境中存在的障碍物并轻松到达目标位置。所提出的模型在 V-REP 仿真软件中得到认证，仿真结果在测试条件下安排的实时设置中得到验证。