Enhanced Perception in Robotics Control and Manipulation

Dear Colleagues,

Robotic systems are ubiquitous in production industries.

Nonetheless, the advent of collaborative solutions together with advanced and learning control approaches, are lowering the entering barriers thus unlocking the use of robots in “soft” as well as unstructured “everyday” environments.

However, to effectively control robot interactions with the surroundings, correctly sensing and perceiving the environment is a necessary preliminary task.

The Special Issue in “Enhanced Perception in Robotics Control and Manipulation” encourages novel and original papers presenting high-quality research specifically focusing on perception technologies for robotic systems. A special emphasis will be on novel representations and approaches for robotics manipulation and grasping with focus on “adversarial” objects, e.g., characterized by transparent, reflective, and feature-less surfaces.

Despite learning-based solutions currently playing a key and disruptive role in perception technologies, less data-hungry approaches are encouraged and will also be considered within the scope of this SI. Indeed, topics are invited from a wide range of disciplines and perspectives, including but are not restricted to the following:

• Advances in object detection;
• Advances in semantic segmentation;
• Object representation;
• Deep learning solutions to machine vision;
• Scene understanding;
• Learning embeddings;
• Machine vision to robot grasping and manipulation.

Dr. Marco Todescato
Dr. Fernando De la Prieta
Guest Editors

Manuscript Submission Information

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