Shuijing725/CrowdNav_HEIGHT
[T-ASE 2026] "HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments"
This project helps operations engineers and roboticists develop safer, more efficient navigation systems for robots operating in busy, unpredictable spaces like warehouses, hospitals, or public areas. It takes real-time sensor data about people and obstacles and produces smarter robot movement decisions, minimizing collisions and optimizing paths. The end-user is typically an engineer responsible for deploying and managing autonomous robots in constrained and crowded environments.
Use this if you need to train and evaluate robot navigation policies that effectively manage complex interactions between robots, moving people, and static obstacles in a confined space.
Not ideal if your robots operate in open, unpopulated environments with minimal interaction or if you're looking for a plug-and-play solution without any policy training.
Stars
92
Forks
11
Language
Python
License
MIT
Category
Last pushed
Dec 26, 2025
Commits (30d)
0
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