Object Recognition, Robotic Grasping and Manipulation Ⅱ
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".
Deadline for manuscript submissions: closed (20 November 2021) | Viewed by 347
Special Issue Editor
Interests: service robotics; mobile manipulation; machine learning for robotics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
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. However, 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.
Dr. Seung-Joon Yi
Guest Editor
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