This research introduces an adaptive interactive navigation approach enabling quadruped robots to proactively modify their environment to reach otherwise inaccessible goals.

• Leverages Large Language Models to interpret complex environments and generate appropriate navigation strategies
• Enables robots to interact with obstacles rather than just avoiding them
• Demonstrated in disaster zones and cluttered warehouses where traditional navigation methods fail
• Creates new possibilities for robotic deployment in unpredictable real-world scenarios

This engineering breakthrough significantly expands the operational capabilities of quadruped robots in complex environments where predetermined paths are impossible to establish.

Adaptive Interactive Navigation of Quadruped Robots using Large Language Models