AI Navigation for AMRs: Simulation to Real-World Use
Autonomous mobile robot navigation presents a difficult challenge in dynamic, people-centric environments. By addressing the issues of traditional physical testing, a simulation-first approach allows teams to validate systems, lower costs, and achieve predictable results.
Read our white paper to understand how SoftServe’s simulation-first development process improves every stage of AMR deployment. Find specific guidance on using reinforcement learning and synthetic data to train navigation models, coordinate multi-robot fleets, and produce reliable real-world performance.
