RoboTac 2022
The 4th IEEE/RSJ International Workshop@IROS 2022
RoboTac 2022: Visuo-Tactile Predictive Coding and Active Inference for Grasp 
and Manipulation
New Advances in Tactile Sensation, Interactive Perception, and Learning
October 23, 2022, Kyoto, Japan
Workshop URL:  RoboTac2022 | RoboTac 
(robotact.de)<https://www.robotact.de/robotac-2022>



 Call for Paper and Contributions

Important Dates:

  ***********************************************************************

  *   Paper Submission Deadline: September 22, 2022
  *   Notification of Acceptance: September 25, 2022
  *   Camera-Ready Deadline: October 23 , 2022
  ***********************************************************************
Paper Submission guidelines
 We welcome submissions regarding any robotics application where tactile 
sensing modalities are used. As we aim to encourage meaningful discussion in 
the tactile perception and learning domain, work that is unpublished, recently 
published or under review can be accepted for presentation depending on the 
novelty, significance and contributions of the work to the workshop theme.  For 
further information please visit RoboTac2022 | RoboTac 
(robotact.de)<https://www.robotact.de/robotac-2022>

**** Award: The outstanding papers and demos will receive awards from the BMW 
Group and other sponsors.


Topics of Interest:

Human Sense of Touch

  *   Touch physiology from skin to brain
  *   Haptic Perception
  *   Action and Perception Loop
  *   Perception for Learning

Tactile Sensing Technologies and Materials

  *   Conformable and compliant materials
  *   Features enabled by conformable sensors
  *   Biomimetics
  *   Sensor effects
  *   Integration and read-out strategies
  *   Self-healing properties and strategies
  *   Sensor skins: design, fabrication and integration strategies
  *   Integration strategies for sensors in robotics
  *   Enabling technologies for fully integrated robotic systems

   Visio-Tactile Exploration, Interaction, & Learning

  *   Exploitation of contact constraints
  *   Novel contact models
  *   Object perception for the exploitation of contact
  *   Tactile information processing
  *   Tactile feature extraction / feature learning
  *   Tactile-based object modeling
  *   Tactile object localization
  *   Tactile shape reconstruction and recognition
  *   Tactile object classification
  *   Tactile exploration
  *   Trends in combining of vision and touch sensing
  *   Roles of vision and touch sensing in different object perception tasks
  *   Modeling and representation of sensing modalities
  *   Integration of visio-tactile sensing modalities

Tactile Grasp, Manipulation, & HRI (Soft and conventional Robotic Systems)

  *   Linear/rotational slip detection
  *   Grasping planning
  *   Grasp stability assessment
  *   In-hand/whole body manipulation
  *   Tactile planning interplay between touch sensing and vision
  *   Tactile knowledge/skill transfer
  *   Tactile transfer learning
  *   Soft manipulation
  *   The meaning and function of different sensing modalities in object 
manipulation
  *   Sensing and planning in object manipulation
  *   Multi-robot manipulation and coordination
  *   Control strategy for object manipulation and collaborative assembly
  *   Learning object manipulation skills from human demonstration
  *   Novel approaches to grasp and manipulation planning
  *   Whole-body, multi-contact planning and control
  *   Design and characterization of contact-exploiting, compliant hands

Confirmed Speakers
Tactile Sensing Technologies

  *   Prof. Takao Someya<http://www.ntech.t.u-tokyo.ac.jp/en/profile/> , The 
University of Tokyo, Japan

Human Sense of Touch

  *   Prof. Vincent 
Hayward<http://www.isir.upmc.fr/index.php?op=view_profil&id=19&old=N&lang=en%20%20%20>,
 Sorbonne Université / Actronika SAS, France
  *   Prof. Etienne Burdet<https://www.imperial.ac.uk/people/e.burdet>, 
Imperial College London, UK

Predictive visuo–tactile coding and active inference

  *   Prof. Thrishantha 
Nanayakkara<https://www.imperial.ac.uk/people/t.nanayakkara>, Imperial College 
London, UK
  *   Prof. Jun Tani<https://groups.oist.jp/cnru/jun-tani>, Okinawa Institute 
of Science and Technology Graduate University (OIST), Japan
  *   Prof. Henrik 
Jörntell<https://scholar.google.com/citations?user=XtGRqeAAAAAJ&hl=en>, Lund 
University, Sweden

Visuo-tactile grasp, prehensile and nonprehensile manipulation

  *   Prof. Oliver 
Brock,<https://www.robotics.tu-berlin.de/menue/team/oliver_brock/> TU Berlin, 
Germany
  *   Prof. Alberto Rodriguez 
Garcia<http://meche.mit.edu/people/faculty/alber...@mit.edu>, Massachusetts 
Institute of Technology, US
  *   Prof. Perla Maiolino<https://eng.ox.ac.uk/people/perla-maiolino/>, Oxford 
Robotics Institute, UK
  *   Prof. Jeannette Bohg<https://web.stanford.edu/~bohg/>, Stanford 
University, US
  *   Prof. Harold Soh<https://haroldsoh.github.io/>, National University of 
Singapore
  *   Prof. Ville Kyrki<https://people.aalto.fi/ville.kyrki>, Aalto University, 
Finland
  *   Prof. Tapomayukh 
Bhattacharjee<https://robotics.cornell.edu/faculty/tapomayukh-bhattacharjee-bio/>,
 Cornell University, US


   Organizers


  *   Dr.-Ing. Mohsen Kaboli, Asst. Professor, director of RoboTac Lab, BMW 
research, Radboud University, Germany
  *   Dr. Vincent Hayward, Professor, the Institute for Intelligent Robotic, 
Sorbonne University, France
  *   Dr. Etienne Burdet, Professor, director of Human Robotic Lab, Imperial 
College London, UK
  *   Dr.  Henrik Jörntell, Professor of Neural Basis of Sensorimotor Control, 
Department of Experimental Medical Science ,Lund University , Sweden
  *   Anirvan Dutta, Ph.D. Candidate BMW research, Germany, Imperial College, UK


Regards
Mohsen

---------
Dr.-Ing. Mohsen Kaboli
Asst. Professor of AI Robotics & Tactile Intelligence
Director of RoboTac Lab
BMW research, AI and Robotic Center of Excellence, Germany
Radboud University, Donders Institute for Brain and Cognition, the Netherlands
Mohsen Kaboli | RoboTac (robotact.de)<https://www.robotact.de/mohsen-kaboli>
Dr Kaboli, M. (Mohsen) | Radboud University 
(ru.nl)<https://www.ru.nl/en/people/kaboli-m>







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