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SoftServe has highlighted the importance of 'virtual gyms' for robotics teams, emphasizing their role in preparing robots for dynamic environments. These high-fidelity simulation environments allow robots to train, fail, and recover safely before real-world deployment, addressing the challenges posed by unpredictable operational conditions. The global robotics market is projected to grow at a 19.6% CAGR from 2026 to 2036, underscoring the need for effective training solutions like virtual gyms to enhance robotic autonomy and performance. The shift from programmed automation to physical AI necessitates that robots adapt to constantly changing environments, which traditional training methods struggle to accommodate. Virtual gyms integrate technologies such as digital twins, reinforcement learning, and sensor modeling to provide a comprehensive training platform. This approach mitigates the risks and costs associated with real-world trials, enabling teams to generate valuable training data in a controlled setting, thus improving deployment success rates. Looking ahead, the adoption of virtual gyms is expected to become a standard practice in robotics development, as they offer a solution to the simulation-to-reality gap. No further timeline was disclosed at the time of publication, but the increasing complexity of robotic tasks suggests that the demand for such training environments will continue to rise as the industry evolves.
RoboticsBusinessReview.com By Mariusz Janiak 3 hours ago Artificial Intelligence Artificial Intelligence / Cognition Autonomous Mobile Robots (AMRs) Development Tools / SDKs / Libraries Industrial Robots LogisticsRSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.