Object Recognition, Robotic Grasping and Manipulation

Dear Colleagues,

Human control systems are trained to complete a given task using excellent sensors, unique artificial intelligence, and human body hardware, so it seems easy to recognize and pick up objects in everyday life. But for a robot, even simple tasks are not easy. This is mainly due to recognition errors, lack of decision-making experience, and the low adaptability of robotic devices. Therefore, this Special Issue covers topics that deal with the recognition, grasping, and manipulation of objects in the complex environments of everyday life and industry. The subtopics are as follows:

• Object recognition by deep learning or reinforcement learning
• Intelligent gripper and hand design
• Object grasping algorithm
• Singulation algorithm of objects in complex environments
• Motion planning algorithm to handle or assemble multiple objects

Prof. Byung-Ju Yi
Dr. Seung-Joon Yi
Guest Editors

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