How to Train a Cross-Embodiment Robot Navigation Policy with AI Agents

<img width="600" height="338" src="https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/robot-quad-composite-1-1.gif" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" title="robot-quad-composite (1)" />Navigation enables a robot to turn perception and motion into purposeful autonomy. Unlike locomotion, which produces stable movement, navigation must be used to...<img width="600" height="338" src="https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/robot-quad-composite-1-1.gif" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" loading="lazy" title="robot-quad-composite (1)" /><p>Navigation enables a robot to turn perception and motion into purposeful autonomy. Unlike locomotion, which produces stable movement, navigation must be used to continuously localize the robot, interpret changing surroundings, select a route, and avoid obstacles to reach a goal safely. Moving this capability to a new robot or scene can require new data, simulation assets, robot interfaces…</p> <p><a href="https://developer.nvidia.com/blog/how-to-train-a-cross-embodiment-robot-navigation-policy-with-ai-agents/" rel="nofollow" data-wpel-link="internal" target="_self">Source</a></p>