At a major robotics exhibition held in Hangzhou, over 60 industry enterprises and more than 300 intelligent robots competed in practical tasks across industrial, special operations, and service sectors. One participant, DEEP Robotics, brought its Lynx M20S wheel-legged robot to challenge extreme conditions, including a simulated level-14 typhoon wind environment coupled with urban waterlogging and complex obstacle navigation.

The trial environment was harsh, with pedestrians unable to stand and bicycles skidding along the ground from the force of the gale-force winds. Despite these brutal conditions, the Lynx M20S robot completed its full operational assessment with zero failures and zero errors, relying on independently developed core technology and robust hardware specifications.

The M20S achieves this resilience through DEEP Robotics' proprietary AI-driven motion control algorithms and a highly flexible wheel-legged joint structure. These systems allow the robot to make real-time balance adjustments in response to disturbances caused by wind pressure, gravitational shifts, and changing surface friction. Whether executing precise movements in standard 6-to-8 level wind and rain or maintaining stable locomotion and obstacle traversal during the level-14 super typhoon simulation, the robot remained steady and fully controlled throughout.

In the urban waterlogging scenario, the M20S demonstrated versatility by switching between operational modes to handle diverse and difficult terrain. In shallow flood areas, it used wheeled movement for efficient, large-scale inspection sweeps. For navigating fallen obstacles and tight gaps, it used adaptive body posture control to lower its profile and maneuver through constricted spaces. When encountering slippery, steep stairways and strong water currents, the unit proactively lowered its center of gravity to climb deliberately and safely, reaching pre-designated search and rescue points.

Throughout the entire test, the robot did not slip, tip over, or get stuck. It autonomously weaved through complex obstacle sections, efficiently completing comprehensive area patrols, hazard detection, and simulated rescue operations.