Algorithm Developer
JZT Four-way Shuttle Path Planning System
2023.05 - 2023.07
Warehouse automation prototype
Summary
Led a warehouse shuttle path-planning prototype using A*, conflict detection, priority waiting, and PyQt visualization.
Business Value
Verified feasibility of warehouse automation scheduling algorithms at low cost.
Engineering Depth
Demonstrates synthesis of graph search algorithms, concurrent programming, and GUI development.
Evidence
Manual review · Confidence Medium · Verified 2026-02-15
- Evidence level: strict review (core sections only show verifiable metrics)
- Source type: Manual cross-check
- Source link: no public link provided, review against delivery records
- Verified at: 2026-02-15 (122 days ago, fresh evidence)
Rationale: Medium confidence: evidence mainly comes from manual collation; missing a public source link.
Background
密集存储仓库需要调度多台四向穿梭车协同工作。
Challenge
多车协同场景下容易出现节点占用冲突、路径交叉与潜在死锁，传统单车寻路难以直接复用。
Action and Results
Solution
- 实现路径搜索：基于 A* 完成仓储地图下的启发式路径求解。
- 处理多车冲突：引入冲突检测与优先级等待策略，解决多车协同时序冲突问题。
- 构建仿真工具：基于 PyQt5 开发地图编辑与路径可视化界面，支持调试与演示。
Result
完成多车路径规划原型验证，支持在仿真环境中直观展示路径搜索与冲突消解过程。
Key Signals
Implemented A* path search for warehouse maps.
Handled multi-vehicle node and timing conflicts.
Built a PyQt5 visualization and debugging tool.
Tech Stack
PythonA*Path PlanningPyQt5Concurrency