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  1. 29 Ιουν 2023 · A robotics simulator places a virtual robot in virtual environments to test the robot’s software without requiring the physical robot. And the latest simulators can generate datasets to be used to train machine learning models that will run on the physical robots.

  2. 30 Σεπ 2020 · Emerging artificial intelligence techniques will endow the next generation of robots with mobility and decision-making skills. These robots will be flexible and reconfigurable; interact with humans; and operate in environments that are unstructured, uncertain, and rapidly changing in time.

  3. Robot simulation enables robotics engineers and researchers to create virtual models of robots and their environments. This technology enables the testing and validation of robot designs, control algorithms, and interaction with various elements within a simulated, risk-free setting.

  4. 4 Ιαν 2021 · Simulation enables robots to plan and estimate the outcomes of prospective actions without the need to physically execute them.

  5. 10 Απρ 2022 · In this paper, we first introduce the necessary nomenclature and mathematical fundamentals for the problem (Section 2). Next, we review early approaches for learning from randomized simulations, state the practical requirements, and describe measures for sim-to-real transferability (Section 3).

  6. 29 Δεκ 2022 · Computer-based simulation is indeed an appealing tool to develop control software for robot swarms—and also for single-robot and non-swarm multi-robot systems—as it allows for fast, safe, and...

  7. This article provides an overview of the use of simulation in robotics, emphasizing how robots (with sensing and actuation components), the environment they operate in, and the humans they interact with are simulated in practice.

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