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In a groundbreaking display of technological advancement, a bipedal robot recently underwent a series of rigorous field tests in the wild, tackling complex terrains in an open, uncontrolled environment without prior data or protection. This zero-shot test demonstrated the robot's ability to adapt dynamically to unfamiliar landscapes, highlighting the exceptional control and stability achieved through reinforcement learning (RL) training.

In recent years, interest in using drones for indoor applications has grown significantly. Traditionally, most drone applications have focused on outdoor environments such as forests, fields, and construction sites. However, advancements in indoor SLAM (Simultaneous Localization and Mapping) and 3D mapping have sparked interest in exploring the potential of drones for indoor operations.

China boasts vast territory, abundant rivers and lakes, and developed water systems. Among them, there are 45,203 rivers with a drainage area of over 50 square kilometers, totaling a length of 1.5085 million kilometers. There are more than 2,865 natural lakes with an annual average water surface area of over 1 square kilometer, with a total lake water surface area of 78,000 square kilometers.

Revolutionizing High-Altitude Operations with Drones

Have you ever noticed the brave "spidermen" scaling towering skyscrapers? Their work involves immense risk. However, with the rapid advancement of drone technology, these versatile aerial machines are increasingly showing their potential to replace humans in high-altitude tasks.

The SLAM100/SLAM2000 handheld laser radar scanner is the main mobile measurement equipment developed by the company. It integrates the industry-level SLAM algorithm and can obtain high-precision and high-definition three-dimensional point cloud data of the surrounding environment without GNSS, achieving on-site reproduction with surveying and mapping-level accuracy.

With the rapid growth of human activities and industrialization, water surface pollution has emerged as one of the most pressing environmental challenges of our time. Addressing this issue requires innovative solutions that go beyond traditional methods. 

In recent years, revolutionary technology has redefined the way high-rise building maintenance is approached. Drone-based exterior wall cleaning systems have set a new benchmark in the industry by combining efficiency with unparalleled safety. This innovative solution marks a significant milestone in the field of building maintenance, offering both technological advancements and operational breakthroughs.

In recent years, a revolutionary cleaning technology, the drone exterior wall cleaning system, has officially debuted and been put into use. The birth of this technology marks the entry of the building exterior wall cleaning field into a new era of both efficiency and safety, which can be regarded as a milestone in scientific and technological innovation.

For a long time, traditional glass exterior wall cleaning operations have been highly dependent on manual operations by high-altitude workers, which is not only labor-intensive but also accompanied by extremely high safety risks. In contrast, the introduction of drone cleaning technology has fundamentally subverted this traditional model.

Foxtech’s P1 bipedal robot, powered by advanced reinforcement learning, has achieved a major milestone by successfully navigating rugged terrains in Tanglangshan Park, Shenzhen. In a zero-sample, fully open testing environment with no prior data on forest conditions, P1 demonstrated remarkable adaptability, control, and stability. This achievement highlights Foxtech’s robust reinforcement learning framework, which integrates Real2Sim2Real closed-loop systems, modular neural network design, and iterative pre-training algorithms. Together, these innovations enable P1 to overcome complex, real-world obstacles autonomously. Foxtech’s success with P1 reflects its dedication to developing cutting-edge robotics capable of adapting to and thriving in dynamic environments.