{"id":625030,"date":"2024-06-21T16:19:20","date_gmt":"2024-06-21T13:19:20","guid":{"rendered":"https:\/\/en.buradabiliyorum.com\/a-method-to-enable-safe-mobile-robot-navigation-in-dynamic-environments\/"},"modified":"2024-06-21T16:19:20","modified_gmt":"2024-06-21T13:19:20","slug":"a-method-to-enable-safe-mobile-robot-navigation-in-dynamic-environments","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/a-method-to-enable-safe-mobile-robot-navigation-in-dynamic-environments\/","title":{"rendered":"#A method to enable safe mobile robot navigation in dynamic environments"},"content":{"rendered":"
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\n The ClearPath Jackal robot navigating an outdoor environment at UC San Diego. Credit: Long et al
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To successfully complete missions in dynamic and unstructured real-world environments, mobile robots should be able to adapt their actions in real-time to avoid collisions with nearby objects, people or animals.<\/p>\n

Most existing app<\/a>roaches to prevent robot collisions work by creating accurate maps of the environment a robot is navigating and then planning the best trajectories to safely reach a desired location.<\/p>\n

Many previously proposed robot navigation techniques have achieved promising results in simulation. However, they often did not perform as well in real-world environments, particularly those that are unpredictable and rapidly changing over time.<\/p>\n

Researchers at University of California, San Diego recently introduced a new method that could enhance the navigation of mobile robots in dynamic and unstructured environments.<\/p>\n

This method, introduced in a paper<\/a> posted to the arXiv<\/i> preprint server, has so far been successfully applied to the Jackal robot, a wheeled robotic system developed by ClearPath Robotics.<\/p>\n

“Our recent paper addresses the critical need for safe autonomous navigation of mobile robots in complex, unknown and dynamic environments, while considering the limited sensing and computational resources available onboard,” Kehan Long, co-author of the paper, told Tech Xplore.<\/p>\n

“While previous research has made significant advances using techniques such as artificial potential fields, navigation functions, and control barrier functions, many of these methods rely on constructing an accurate map of the environment.”<\/p>\n