BioVLN专门为实验室机器人导航设计，把仪器分成三个区域来评估，比普通方法更安全，成功率能上80%+。
BioVLN是一个专为生物医学实验室设计的视觉语言导航仿真平台。它将每个仪器表示为物理体、安全区和操作区三个区域，并以此进行场景生成和目标放置。平台包含47个场景和1667个episode，支持标准化导航和强化学习接口。实验显示，几何探索方法达到74.4%–87.5%的成功率，而在操作区内采样多个有效位置可将成功率提升至83.3%–92.5%，同时减少不安全接近。
BioVLN: A Simulation Platform for Visual Language Navigation in Biomedical Laboratories
Biomedical laboratory robots must navigate to instruments before performing experimental procedures. Existing embodied navigation platforms are designed for household environments and treat a target as an object center or an arbitrary nearby position. This representation is inadequate for laboratory instruments, which must be approached from their operating side while maintaining safe clearance from surrounding equipment. We introduce BioVLN, a simulation platform for developing and evaluating visual-language navigation agents in biomedical laboratories. BioVLN represents each instrument with three regions: its physical body, a surrounding clearance region, and an operation area in front of the usable side. This model is applied consistently to scene generation, target placement, navigation evaluation, and safety analysis, so success depends on reaching a position from which the instrument can be accessed. BioVLN supports procedural scene generation and manually designed environments, producing 47 scenes and 1667 episodes. Standardized navigation and reinforcement-learning interfaces enable trajectory collection and policy training. Experiments show that geometric exploration reaches 74.4--87.5% success, while sampling multiple valid positions in the operation area improves success to 83.3--92.5% and reduces unsafe proximity.