Environmental feature-specific actions for robot navigation

A legged robot comprising:

• a plurality of legs;
• memory storing computer-executable instructions;
• and
• a processor in communication with the memory, wherein the processor is configured to execute the computer-executable instructions, wherein execution of the computer-executable instructions causes the processor to:
• detect, by a feature detector of the legged robot, using image sensor data obtained from a first sensor on the legged robot, a feature in an environment about the legged robot;
• detect, by a mover detector of the legged robot, using lidar sensor data obtained from a second sensor on the legged robot, a mover in the environment about the legged robot;
• fuse first data associated with the feature and second data associated with the mover to produce fused data based on an output generated by the feature detector and an output generated by the mover detector, wherein a portion of the environment is classified into a classification of a set of moving feature classifications and non-moving feature classifications based on at least a portion of the fused data;
• and
• based on the classification, react to the portion of the environment.

A computing system comprising:

• data processing hardware;
• and
• memory hardware in communication with the data processing hardware, the memory hardware storing instructions, wherein execution of the instructions by the data processing hardware causes the data processing hardware to:
• detect, by a feature detector of a legged robot, using image sensor data obtained from a first sensor on the legged robot, a feature in an environment about the legged robot;
• detect, by a mover detector of the legged robot, using lidar sensor data obtained from a second sensor on the legged robot, a mover in the environment about the legged robot;
• fuse first data associated with the feature and second data associated with the mover to produce fused data based on an output generated by the feature detector and an output generated by the mover detector, wherein portion of the environment is classified into a classification of a set of moving feature classifications and non-moving feature classifications based on at least a portion of the fused data;
• and
• based on the classification, react to the portion of the environment.