  This paper presents a novel garbage pickup robot which operates on the grass.
The robot is able to detect the garbage accurately and autonomously by using a
deep neural network for garbage recognition. In addition, with the ground
segmentation using a deep neural network, a novel navigation strategy is
proposed to guide the robot to move around. With the garbage recognition and
automatic navigation functions, the robot can clean garbage on the ground in
places like parks or schools efficiently and autonomously. Experimental results
show that the garbage recognition accuracy can reach as high as 95%, and even
without path planning, the navigation strategy can reach almost the same
cleaning efficiency with traditional methods. Thus, the proposed robot can
serve as a good assistance to relieve dustman's physical labor on garbage
cleaning tasks.
