Cost-effective: Building physical robots can be expensive, especially during the early stages of design when multiple prototypes may be required. Simulations provide a cost-effective way to test and refine designs before investing in physical prototypes.
Safety: Autonomous mobile robots are designed to interact with the physical world and may encounter unexpected situations that could result in damage to the robot or its surroundings. Simulations allow designers to test the robot’s behavior in a virtual environment, which eliminates the risk of physical damage and ensures the robot’s safety.
Scalability: Simulations allow designers to test the robot’s behavior in a wide range of environments and scenarios, which can be difficult or impractical to replicate in the physical world. This ensures that the robot’s design is robust and adaptable to different situations, making it easier to scale up and deploy in real-world applications.
Navigation Simulation
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