Closing the action-perception loop in robotic manipulation

How to push current limits of industrial applications?

Since the rise of robotic manipulation in early 1950s, robots have improved in speed, precision, repeatability and safety. On the other hand, it is evident, nowadays, how industrial robotic manipulation shows truly effectiveness only in settings in which geometry, material properties, and weight of all objects are known in advance, cutting out all those tasks requiring (i) adaptation to changing object properties and (ii) fine manipulation skills not addressable by model-based approaches.

Recent advancements in robotics research underscore 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 improve geometric interpretation of perceptual information, estimation of object models, 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 overcoming current limitations, towards unlocking a new era of industrial automation.

This workshop aims to bring together scientists from academia and experts from companies, who are actively engaged at the intersection of robotic manipulation and perception. The workshop seeks to foster collaboration and knowledge exchange and aims to drive progress in the field, enabling the development of more adaptive and intelligent robotic systems. Participants will have the opportunity to share their latest 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, learning from demonstration.

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Call for papers

We invite participants to submit extended abstracts 3+n pages, with n pages (no page-limit) for the bibliography, in the IEEE conference style.

Submissions will be reviewed by experts of their respective field. The accepted abstracts will be made available on the workshop website but will not appear in the official IEEE conference proceedings. Participants are encouraged to submit their recent work on the topics of interest mentioned above. Contributions are encouraged, but are not required, to be original.

The review process will be single-blind, meaning the submitted paper does not need to be anonymized.

Abstracts can be submitted through TODO: https://link_TBD.com.

Workshop award

We are currently investigating the possibility to have a Best Paper Award sponsored by one of the supporting the IEEE RAS Technical Committee. Any contribution submitted to the workshop will be automatically considered for the award.