To successfully complete tasks in real-world environments, robots must adapt their actions in real time, avoiding collisions with obstacles, people or animals. Older methods of creating environmental maps and planning trajectories are not always suitable for dynamic and unpredictable environments where the environment changes rapidly.
Based on distributed robust optimization theories, the new method allows data from robot sensors such as LiDAR to be used to provide safe navigation without the need for an accurate map of the environment. Suitable for a wide range of applications, from interiors to complex, dynamic exteriors.
Source: Ferra
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