An engineering-grade large quadruped robot represents a pivotal advancement in mobile robotics, engineered to tackle high-stakes tasks in environments where human access is perilous or wheeled systems falter. Built for industrial durability and adaptive performance, this machine merges robust mechanical design, intelligent locomotion, and autonomous decision-making to operate reliably in extreme conditions. At its framework, the robot features a high-strength aluminum alloy and carbon fiber composite chassis, striking a balance between structural rigidity and weight efficiency. Each of its four limbs boasts 4 degrees of freedom (DOF)—hip, thigh, knee, and ankle joints—powered by a hybrid system of high-torque electric actuators and hydraulic assist for heavy lifting. This setup enables a 180 kg payload capacity, allowing it to carry inspection tools, emergency supplies, or industrial components across rough terrain. Its feet are lined with shock-absorbing rubber and embedded pressure sensors, adjusting grip and weight distribution to maintain traction on slippery ice, wet rock, or loose soil. Locomotion is a defining strength: adaptive gait control algorithms switch seamlessly between walk, trot, and gallop based on terrain complexity and load. The robot navigates 40 cm-high stairs, rubble fields, and 35-degree slopes with ease, using real-time posture adjustments to stay stable even if one leg temporarily loses contact with the ground (e.g., stepping over a 60 cm barrier). This dynamic balance is critical for disaster response and industrial inspection scenarios where uneven surfaces are ubiquitous. The sensory suite delivers full environmental awareness: a 128-channel LiDAR scans surroundings at 10 Hz to create 3D maps, while stereo cameras with computer vision identify objects like damaged pipes, wires, or survivors. An inertial measurement unit (IMU) tracks posture and movement, and temperature/humidity sensors monitor ambient conditions. All data feeds into a ruggedized on-board computing unit—equipped with a GPU and CPU—running machine learning models to make autonomous decisions (e.g., rerouting around a collapsed wall or adjusting grip on a slippery surface) without human input. Powered by a 60 kWh lithium-ion battery pack, the robot offers 6 hours of continuous operation under moderate load. For extended missions, a quick-swap battery system allows replacement in 5 minutes, minimizing downtime in industrial settings. Optional fuel cell modules extend endurance to 12 hours for remote applications like mining site transport. Key applications include industrial inspection: it crawls through narrow boiler ducts in power plants or inspects offshore oil rig components without risking human lives. In disaster response, it uses thermal imaging to search collapsed buildings for survivors and carries medical supplies to trapped victims. On construction sites, it transports heavy materials across uneven ground, reducing worker strain and accidents. Rigorous field trials validate its reliability: it has endured -25°C to 55°C temperatures, dust storms, and heavy rain, meeting international safety standards for industrial robotics. As a versatile tool, it bridges human capability and machine resilience, transforming how we approach high-risk, low-access tasks across sectors.