Advancements in Robotic Design, Manufacturing, and the Action-Perception Loop

Dear Colleagues,

Recent advancements in robotics research have underscored the importance of exploiting the link between robot perception and action, which, if considered as interconnected entities of a loop instead of separate processes, could enhance the geometric interpretation of perceptual information, the estimation of object models, the integration of grasp planning with machine learning, and long-horizon manipulation task sequences in industrial settings. Investigating the crucial relations between robot perception and action may contribute to overcoming current limitations and enable a new era of industrial automation to be unlocked.

This Special Issue aims to connect scientists who are actively working at the intersection of robotic manipulation and perception. Contributions to this Special Issue should present recent advancements and perspectives concerning robotic manipulation and perception for a diverse range of topics, including, but not limited to, deformable object manipulation, grasp stability, dexterous manipulation, active and interactive perception, robot learning, computer vision, tactile sensing, and learning from demonstration.

Dr. Roveda Loris
Dr. Roberto Meattini
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• robotics
• robotic manipulation
• robotic perception
• automation
• machine learning
• human–robot collaboration
• deformable objects