Quadruped robot dog
1344×768 · AVIF · CC BY 4.0

Quadruped robots like Boston Dynamics' Spot represent a leap in mobile robotics, combining agile locomotion with applications in inspection and rescue.
About this subject
Quadruped robots, also known as robot dogs, are legged platforms inspired by animal biomechanics. The most famous model is Boston Dynamics' Spot, commercially launched in 2020. It weighs about 25 kg, carries up to 14 kg payload, and has a 90-minute battery life. Sensors like stereo cameras and LIDAR enable autonomous navigation on rough terrain, stairs, and confined spaces. Companies like Unitree Robotics produce similar versions (Go1, Aliengo) at lower prices.
Primary applications include industrial inspection in oil rigs and nuclear plants, where human presence is hazardous. They gather vibration, temperature, and gas leak data. In search and rescue, their ability to climb rubble surpasses wheeled robots. Spot has also been used in art and entertainment, such as choreographed dance routines.
In Brazil, adoption remains limited, but research projects exist at universities like USP and ITA. High cost (Spot ~$75k) is a barrier, but open-source alternatives like Stanford Doggo are democratizing access. Quadruped locomotion is an active research area in control and reinforcement learning.
Interestingly, Spot was deployed by NYPD as a 'robot dog' in hostage situations, sparking debates on privacy and force use. The engineering involves balance control algorithms and gait generation (trot, gallop) adaptive to terrain.
Frequently Asked Questions
What are quadruped robots used for?
Mainly for industrial inspection, search and rescue, and research. They access hazardous or hard-to-reach locations.
What's the difference between Spot and Unitree Go1?
Spot is more robust and expensive (~$75k), with higher payload and sensors. Go1 is lighter and cheaper (~$3.5k), targeting developers.
Can quadruped robots walk on any terrain?
They are designed for rough terrain, stairs, and steep slopes, but have limitations in deep mud or soft snow.
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