NaviPro is a professional path finding and navigation solution for Unity. It is designed for games and similar real-time applications. Using the latest research in navigation, it features natural agent behaviour and very fast path finding, even in large and complex environments.
NaviPro is available on the Unity Asset Store: NaviPro Asset Store page
You can download the full documentation here.
Or try out the demo version here. The demo is limited to 5 minutes of simulation per session.
NaviPro features natural and customizable agent movement. Agents have intuitive settings to tune their walking behavior to your needs.
Intelligent local avoidance stops your agents from bumping into one another and allows them to pass by one another smoothly. In situations where larger groups of agents meet, crowd flow simulation avoids collisions and helps the groups to pass in a natural way. Crowd flow in NaviPro is based on observations from real crowds.
NaviPro uses the latest research in navigation to ensure very fast path finding. The resulting paths are smooth and require no additional settings. NaviPro features fast and precise construction of the navigation mesh using custom meshes or integration with the Unity NavMesh API.
Running native code with multi-threading using Unity's Job System enables very fast agent simulation. NaviPro supports hundreds of agents, allowing it to run well on mobile devices as well. Even for projects that do not require that many agents, better performance also means longer battery life for mobile devices or more cpu time for other tasks.
NaviPro features fast modification of the navigation mesh using obstacles and platforms, allowing precise and large scale changes at a low cost. Obstacles and platforms can be added and removed at any time, anywhere.
An automated multi-layer system for the navigation mesh allows overlapping areas such as bridges and even multiple floors without any additional setup.
- Free transformation of the navigation mesh and its agents, including translation, rotation and scaling
- Varying agent sizes and other agent properties
- Optional direct control of agents
- Manual path finding queries