A Transport-Robot Navigation Platform for Pre-Collision Path Diagnosis and Repair

Transport robots have been widely deployed in automated transportation scenarios such as warehouse logistics. When executing preplanned paths, transport robots may still collide with environmental obstacles, causing payload loss and subsequent task interruption. Existing methods mainly focus on post-collision recovery or replanning, without dedicated methods or data support for pre-collision path diagnosis and repair. To address this gap, we introduce RobotPath, a transport-robot navigation platform for pre-collision path diagnosis and repair in warehouse environments. RobotPath integrates three components: (1) scene simulation and automatic path generation, supporting path generation and execution across different robot configurations, shelf layouts, and execution regimes; (2) repair generation and verification tools, which automatically generate repairs and verify their geometric feasibility; and (3) LLM-RobotPath, a platform-native path diagnosis and repair model using numerically aware collision diagnosis and verifier-guided repair. We further release RobotPath-Bench, the first benchmark for this task, containing 20,399 path-execution records across 5 robot configurations, 7 shelf layouts, and 2 execution regimes. Extensive experiments show that RobotPath and RobotPath-Bench provide reliable support for modeling and evaluating pre-collision path diagnosis and repair. Our code and dataset are available at URL.