Robots that learn, recover, and handle complex tasks with Skild AI
Learning through simulations and experience, adaptive robotics powered by Skild AI adjust to unexpected challenges, recover from failures, and acquire the skills needed for complex real-world tasks.
Skild AI has unveiled a new robotics system that helps machines learn, adapt, and recover from failure. Using NVIDIA’s advanced computing power, the company trains robots through realistic simulations and videos of human actions, allowing them to master new skills with minimal training.
Unlike traditional robots, Skild’s machines can adapt to unexpected challenges. When facing obstacles such as a jammed wheel or a broken limb, they quickly adjust and continue working. The system’s flexibility means robots can handle complex tasks from carrying heavy loads to sorting items without relying on costly, custom-built hardware.
By teaching robots to learn through experience rather than rigid coding, Skild AI is building towards a single intelligent ‘brain’ that can power any machine for any purpose. The company believes this shift will mark a turning point for real-world robotics.
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