Robot Intelligence in Grasping and Manipulation
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Robotics, Mechatronics and Intelligent Machines".
Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 1923
Special Issue Editors
Interests: imitation learning; vision-based control; assistive robots
Interests: orthopedic biomechanics robotic testing; robotic assisted technologies; surgical planning; imaging and modelling
Special Issue Information
Dear Colleagues,
In recent years, the field of robotics has witnessed unprecedented growth, driven by breakthroughs in artificial intelligence, machine learning, and sensor technologies. One of the pivotal domains within this expansive landscape is the study of robot intelligence in grasping and manipulation. As robots increasingly permeate diverse sectors, from manufacturing and healthcare to disaster response and household assistance, the ability to understand, adapt, and execute complex grasping and manipulation tasks is paramount.
This Special Issue serves as a comprehensive exploration into the latest advancements and challenges at the intersection of robot intelligence and grasping/manipulation. The multifaceted nature of this domain necessitates a collaborative effort from researchers, engineers, and practitioners across various disciplines, including robotics, computer vision, control systems, and cognitive science. The goal is to not only showcase the state-of-the-art methodologies but also to foster a deeper understanding of the underlying principles governing intelligent robotic manipulation.
This Special Issue aims to provide a comprehensive overview of the current state of research in robot intelligence in grasping and manipulation. The contributions herein will not only contribute to the academic discourse but also inspire future innovations and applications that harness the potential of intelligent robotic manipulation in addressing real-world challenges.
Dr. Jihong Zhu
Dr. Hadi El Daou
Dr. Yunhan Lin
Guest Editors
Manuscript Submission Information
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Keywords
- manipulation planning
- dexterous manipulation
- machine learning for grasping
- tactile sensing for grasping and manipulation
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