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Computer Vision & Machine Learning

(1) Visual data acquisition and information extraction. Employ camera, depth camera, lidar and other imaging devices to obtain environmental data, and combin acquisition and processing to extract visual information.

(2) Semantic perception. Segment and recognize objects in environment by computer vision and machine learning, and give them apprehensive meanings.

(3) Autonomous operation. Empower robots the abilities of semantic perception and autonomous operation on target objects.