IC697MDL350 GE

Once there are hundreds or even thousands of robots,simple logical thinking can no longer solve the problem,and the efficiency of the entire group collaboration cannot be effectively guaranteed.At this time,robots need to be able to continuously learn and revise their own strategies.AI will play an important role in it,allowing the entire system to be continuously optimized,and the level of group intelligence will become higher and higher.

When the scale of the mobile robot system expands,the traditional management and scheduling system is facing more and more stringent requirements.The mobile robot management system needs to perform efficient traffic management and task scheduling for AMRs with obstacle avoidance and detour capabilities.The situation that heterogeneous mobile robot systems coexist in the same application site will increasingly appear.

一旦达到几百台甚至上千台机器人时，简单的逻辑思考已经不能解决问题，整个群体协作的效率无法得到有效保证。这时候就需要机器人能够不断学习、不断修正自身策略，AI将在其中扮演重要角色，让整个系统不断优化，群体智能化程度越来越高。

当移动机器人系统规模扩大，传统的管理调度系统正面临越来越苛刻的要求。移动机器人管理系统需要对具有避障绕行能力的AMR进行高效的交通管理和任务调度，异构移动机器人系统共存于同一应用现场的情况将会越来越多地出现。