摘要
由一名新闻记者-机器人和机器学习的工作人员新闻编辑每日新闻-详细的机器人-机器人和自动化数据已经呈现。根据NewsRx编辑在Delft,Net Herlands的新闻报道，研究表明：“由于机器人动力学和与其他代理的交互的不确定性，动态环境下自主机器人的运动规划带来了许多挑战。基于采样的MPC方法，如模型预测路径积分(MPPI)控制，已经显示出解决这些复杂运动规划问题的前景。”这项研究的财政支持来自可持续水上运输和物流项目：电气化、自动化和优化。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics - Robotics a nd Automation have been presented. According to news reporting out of Delft, Net herlands, by NewsRx editors, research stated, “Motion planning for autonomous ro bots in dynamic environments poses numerous challenges due to uncertainties in t he robot’s dynamics and interaction with other agents. Sampling-based MPC approa ches, such as Model Predictive Path Integral (MPPI) control, have shown promise in addressing these complex motion planning problems.” Financial support for this research came from Project Sustainable Transportation and Logistics over Water: Electrification, Automation and Optimization.
NETL
NSTL