Robot Intelligence for Grasping and Manipulation

Dear Colleagues,

Robot intelligence is an exciting interdisciplinary field that includes robotics, machine learning, pattern recognition, and visuomotor/sensorimotor controls. The aim of robot intelligence for grasping and manipulating objects is to achieve the dexterity of grasping and manipulation in humans. Recently, advancements in machine learning methods, particularly deep learning, have accelerated the growth of this new discipline, such that robots can learn to grasp and manipulate various objects autonomously, similarly to humans.

This Special Issue intends to share novel ideas and works of researchers and technical experts in the field of robot intelligence, pertaining to the grasping and manipulation of objects.

This Special Issue is dedicated to high-quality, original research papers in the overlapping fields of: 

• Robot intelligence for grasping and manipulation;
• Robotics for dexterous grasping and manipulation;
• Anthropomorphic grasping and manipulation;
• Short- and long-horizon robotic grasping and manipulation;
• Artificial intelligence, machine learning, deep learning, deep reinforcement learning in robotics;
• Robotic machine vision intelligence;
• Robot visuomotor and sensorimotor tasks.

Prof. Dr. Tae-Seong Kim
Guest Editor

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