智能软件系统

星途 GL-RCS-所有自动化设备调度市场

提供一套高稳定性大规模&混场&流程编排的设备调度产品。

星途 - 系统架构

星途 - 产品优势

实战经验	系统架构	大规模混场

Reach E-Lab

Multi-Agent Learning Lab, 多智能体学习实验室

目前已实现核心算法：

√ State-of-the-art optimal TAPF algorithm

√ State-of-the-art suboptimal MAPF algorithm

√ State-of-the-art bounded-suboptimal MAPF algorithm

√ State-of-the-art optimal MAPF algorithm

√ Classic DRL MAPF algorithm  

在AI顶会AAAI，AAMAS等会议上发表数篇论文

[1] Kou N M, Peng C, Ma H, et al. Idle time optimization for target assignment and path finding in sortation centers[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2020, 34(06): 9925-9932.

[2] Kou N M, Peng C, Yan X, et al. Multi-agent path planning with non-constant velocity motion[C]//Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems. 2019: 2069-2071.

300 agents in 64×64 with 20% block ratio

案例介绍

联想工厂

无锡猫超

韩国乐天零售

其他典型