The coordinated planning of "waiting points" and "yielding points" ensures smooth passage for high-priority robots executing tasks. The proactive yielding of #06 and #08 is not merely a simple movement but a decision optimized for global efficiency. This effectively resolves path conflicts in shared spaces, significantly enhancing the system's overall efficiency and robustness.

In this scenario, we observe how the intelligent scheduling system navigates risks into smooth operations through accurate prediction and real-time coordination within a narrow and complex passage environment. Fork-1 proactively identifies potential collision risks and initiates stopping and yielding actions. Meanwhile, the AMB robots ensures continuous task execution with zero collisions by performing precise avoidance and orderly movement.

Circular encounters often lead to deadlocks. The system responds with precise judgment and rapid reaction, employing flexible yielding strategies to break resource deadlocks. This ensures efficient advancement of multi-task robots, highlighting the system's superior traffic control capability in complex interactive scenarios.

M4 Intelligent Logistics Management System has been upgraded to M4 AI, concurrently launching three AI-empowered products: M4 AI Agent, which employs a novel interaction method to manage robots, enhancing intelligence and usability while adapting to daily project scenarios; M4 Industrial Robot Large Model Foundation, addressing the implementation challenges of large models in robotics and logistics through specialised training and adaptation for industrial environments; M4 Robot Management Control MCP Service, supporting integration with Deepseek and OpenAI large models to manage business systems, scheduling systems, and robots. M4 AI is the industry's first product to integrate large models with mobile robots and core industrial logistics operations.

The operational interface of the system is designed with "smooth interaction and intuitive information" as its core advantages, delivering an user-friendly experience. The map clearly displays robot target guidance lines, planned paths, and reserved spatial resources.Tap the robot's HUD link to quickly view details.Access all robots via the robot list. Locate Robot Position Instantly. The AI diagnostics can cover over 90% of common issue for robots and orders. The display settings on the right allow you to freely toggle the visibility of map elements and customize the robot panel styles to accommodate the display needs. The playback feature supports variable-speed playback and Jump to timestamp, enabling review of operational processes and fully meeting the needs of scenario monitoring and operation management.

When multiple robots deadlock in a corridor, the system accurately selects the most suitable robot to yield at a designated point. This not only ensures operational continuity but also achieves global efficiency. This fully validates the system's three core capabilities: real-time diagnosis, intelligent decision-making, and multi-robot collaboration. It demonstrates how intelligent scheduling excels in complex logistics scenarios—not only by promptly resolving conflicts but also by enhancing overall system performance through predictive planning.

In complex multi-path dynamic obstacle avoidance scenarios，the system demonstrates exceptional global planning and resource coordination capabilities. When an obstructing robot blocks the path, the system intelligently plans a new route and directs idle robots to give way.Intelligently bypassing obstacles to ensure uninterrupted task execution while achieving dynamic resource allocation.

"dead-end deadlock" is a common pain point: robots entering the lane sequentially become mutually blocked, causing task execution to halt. The M4 resolves this issue through intelligent path planning: the system directs outer robots to wait predictively at the lane entrance, ensuring inner robots receive priority access and complete their operations first. This approach not only prevents deadlocks but also enables parallel operations within confined spaces , maximizing lane throughput efficiency.

The system achieves exceptional coordination in managing multi-robot, cross-floor elevator operations: Globally coordinated planning enables orderly robot queuing at designated points, with dynamic yielding ensuring clear access pathways. An entry-before-exit sequence enables streamlined transit，ensuring completely no deadlock while achieving peak efficiency.

The scheduling system demonstrates highly efficient traffic management in this multi-branch dead-end scenario. By proactively directing robots to yield—through diversion, waiting at designated points, or sequence adjustment—it ensures no deadlock and smooth operations, showcasing robust control in complex environments.

M4 enables dynamic conflict management during robot task execution. By leveraging real-time monitoring of traffic control resources, it accurately identifies path conflicts. Based on the proximity principle and operational efficiency models, the system intelligently assigns optimal yield points to idle robots, preventing workflow stagnation caused by static blockages and ensuring continuous and stable operation of the tote-based warehouse logistics.

A system of 100 robots sustains a load of 200 orders , M4 QuickFleet demonstrates robust traffic management capabilities. At multi-robot intersections, there is no congestion or contention for pathways. Throughout extended operation, the system consistently allocates resources, with no deadlocks or errors. This fully validates the system's powerful traffic control capabilities under high-load, complex scenarios, achieving both global operational optimality and local collaborative efficiency.