Simulation software is becoming an increasingly valuable tool in today’s technological world. Biologists, physicists, software engineers, and many other specialists utilize these tools for various purposes. Using simulation software, it is possible to create a virtual copy of a robotic system from scratch, assessing all the performance parameters and outcomes from the smallest bugs to the most challenging ones. Although robot simulation software is very efficient, it can be challenging to keep control of the numerous parameters and processes that need to be mastered. In this article, we’re going to discuss the five most troublesome errors you’ve ever made and give lessons on how to avoid them.
1. Neglecting Proper Parameter Configuration
Not configuring the parameters of your virtual environment is one of the common mistakes that you should avoid. These parameters may vary from robotics’ physical properties including mass, inertia, friction coefficients, etc. to the characteristics of the world that you are simulating including gravity, friction models, collision detection settings, etc.
2. Ignoring Computational Limitations
Robot simulation software is a perfect virtual playground for your ideas; however, one should never forget that even the mightiest engines have limits. If you try to process too complicated simulations without thinking about the limitations of your computational power, you will face a low simulation speed, frequent crashes, or even end up with a non-responding program. The solution in this situation is the search for optimal simulation complexity.
3. Overlooking Real-World Constraints
Robot simulations open up fantastic opportunities to explore scenarios that may be impractical, or even impossible, in the real world. With that said, it is easy to forget about the many constraints that all physical systems are subject to. If you do not model your robot’s actuator limitations or sensor noise and do not account for external disturbances, your simulated robots could exhibit performance far beyond what is realistically achievable.
4. Underestimating the Importance of Visualization
Robot simulation software may be excellent at number-crunching and data generation, but it is the visual representation of your robotic systems in action that makes them most effective. Without paying sufficient attention to the visualization side of a simulation, your knowledge of the system’s behavior will be severely limited, and the identification of potential problems and improvement areas will become difficult.
5. Failing to Validate and Iterate
By far, one of the most valuable benefits of robot simulations is your ability to experiment and iterate on your designs rapidly and affordably. What many users do with their simulations is to use them as a one-time tool, ignoring the importance of validation and rework. To leverage the full potential of robot simulations, work in a cycle: design, simulate, validate, and refine. Whenever possible, compare the results of your simulations to real data or theoretical models and adjust them to find areas that could use improvement.
Conclusion
Robot programming software represents a quantum leap forward in how we approach designing, testing, and ultimately optimizing robotic behavior. When used correctly, no other tool allows you to perform so many design iterations or to conduct tests of such complexity. To work seamlessly within the virtual worlds, avoid the bad habits that can hamstring your efforts.
