STEM与日常科技·英语30篇（1）

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仿生机器人与足式行走

Unlike wheeled robots, legged machines like Boston Dynamics’ Spot navigate stairs, rubble, and uneven forest floors without needing ramps or lifts.
Their motion mimics biological principles: spring-loaded tendons store energy during foot contact, then release it for efficient next steps.
Real-time feedback from ankle torque sensors and IMUs lets them adjust stance within milliseconds when slipping on ice or gravel.
Gait patterns — such as trotting or pacing — are optimized in simulation before deployment, balancing speed, stability, and power use.
Some models carry lidar and stereo cameras to build 3D maps while walking, enabling autonomous inspection of offshore oil rigs or mines.
Legged robots operate silently and with minimal ground disturbance, making them suitable for wildlife monitoring in sensitive habitats.
Control algorithms borrow from neuroscience, using central pattern generators to produce rhythmic, adaptive stepping without constant brain-like computation.
Though less energy-efficient than wheels on flat roads, legs offer unmatched versatility where infrastructure is absent or damaged.