Paper · 仿真到真实迁移
Distributed Lloyd-Based Algorithm for Uncertainty-Aware Multi-Robot Under-Canopy Flocking
这是面向手机深读前筛选的小文页：先看方向、方法、应用和证据等级，再决定是否跳原文。
期刊
IEEE Robotics and Automation Letters
日期
2026-05
证据等级
摘要支撑
我先帮你看
这篇工作首先强调：In this letter, we present a distributed algorithm for flocking in complex environments that operates at constant altitude, without explicit communication, no a priori information about the environment, and by using only on-board sensing and computation capabilities.
更适合把仿真中的策略稳定迁移到真实机器人平台。
有开放获取入口，手机深读成本相对更低。
理论线索
方法线上更接近 约束建模。In this letter, we present a distributed algorithm for flocking in complex environments that operates at constant altitude, without explicit communication, no a priori information about the environment, and by using only on-board sensing and computation capabilities.
摘要摘录：In this letter, we present a distributed algorithm for flocking in complex environments that operates at constant altitude, without explicit communication, no a priori information about the environment, and by using only on-board sensing and computation capabilities.