[visionlist] [meetings ] RoboTac2019, The IROS2019 workshop on New Advances in Tactile Sensation, Perception, and Learning in Robotics

Mohsen.Kaboli at bmwgroup.com Mohsen.Kaboli at bmwgroup.com
Tue Aug 27 11:34:13 -04 2019


IEEE/RSJ International Workshop at IROS 2019
RoboTac 2019: New Advances in Tactile Sensation, Perception, and Learning in Robotics:
Emerging Materials and Technologies for Manipulation

Monday, November 4th, 2019, Macao, China
 Workshop URL: https://robotac19.aau.at/
Objective:

The sense of touch is a crucial capability for us to cope with manipulation related challenges in everyday life. It enables grasping, manipulation, learning, and decision-making based on the information we get from the hundreds of mechanoreceptors distributed over our skin. This sense of touch is a capability, which robotic systems of the future need to provide in order to be able to safely collaborate and physically interact with humans. Tactile sensing is also essential to perform a variety of other tasks including industrial applications, consumer services, and other highly dynamic environments such as assistance and care for elderly, housekeeping, etc.
For many such applications, tactile sensation, perception, and learning play a crucial role. Soft, compliant, and highly integrated systems, often also suitable for large areas (sensor skins), are becoming increasingly relevant and are considered the future of robotic manipulation and interaction. These systems provide the necessary prerequisites for ubiquitous robotics and the integration of tactile sensors into existing robotic systems. This enables safe interaction and co-existence between humans and robots including novel assistive robotic devices. Thus, this year’s workshop puts an emphasis on tactile sensing and the development of sensor devices and integration strategies based on conformal and compliant approaches.
Similar to the sense of touch in humans, robot sensation and the resulting capabilities do not end at the fingertip. Rather, robot sensation can be viewed as a complex process which is based on the interplay of a variety of components.
In this workshop we bring together well-established speakers as well as young talents across all technical disciplines that tactile sensing comprises. We provide a platform for researchers working in diverse fields of robotics such as material and technology development, perception, haptics and also high level tasks such as manipulation strategies and learning, to get an insight into the vast expanse of work done in the respective fields. The idea is to connect excellent researchers from different domains to foster fresh ideas through interdisciplinary discussions while paving the way for future collaborations.
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  https://robotac19.aau.at/.

 Award: The outstanding posters and demos will receive awards from the BMW research, AI and Robotics Center of Excellence.


Important Dates:

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

  *   Paper Submission Deadline: September 1, 2019
  *   Notification of Acceptance: September 10, 2019
  *   Camera-Ready Deadline: September 20, 2019
  ***********************************************************************


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

Visio-Tactile Grasp and Manipulation

  *   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

       Human Sense of Touch

  *   Dr. Lynette Jones, MIT, US
  *   Prof. Etienne Burdet, , Imperial College London, UK (Confirmed)

Visio-Tactile Sensing Technologies


  *   Prof. Takao Someya University of Tokyo, Japan
  *   Prof. Ravinder Dahiya University of Glasgow, UK
  *   Dr. Benjamin Tee National University of Singapore
  *   Prof. Dae-Hyeong Kim  Seoul National University, South Korea

    Visio-Tactile Perception, Interaction, and Learning

  *   Prof. Bruno Siciliano   Università degli Studi di Napoli Federico II , Italy
  *   Prof. Fanny Ficuciello  Università degli Studi di Napoli Federico II , Italy
  *   Prof. Charles Kemp  Georgia Tech, US
  *   Dr. Hongbin Liu  King's College London, UK
  *   Prof. Hyungpil Moon  Sungkyunkwan University, South Korea
  *   Dr. Michael Wurtenberger BMW Research Germany

   Visio-Tactile Grasp & Manipulation

  *   Prof. Oliver Brock  TU Berlin, Germany
  *   Prof. Antonio Bicchi,   Istituto Italiano di Tecnologia and Università di Pisa, Italy
  *   Prof. Alberto Rodriguez Garci  MIT, US
  *   Prof. Alexander Schmitz  Waseda University, Japan
  *   Prof. Sami Haddadin  Munich School of Robotic and Machine Vision, Germany



Organizers


  *   Dr.-Ing. Mohsen Kaboli, Senior Research Scientist, The BMW research, AI and Robotic Center of Excellence, Germany
  *   Prof. Lisa-Marie Faller, Professor of Robotics, Faculty of Engineering & IT, Carinthia University of Applied Sciences:
  *   Dr. Lorenzo Natale,<https://www.iit.it/people/lorenzo-natale> Director of the Humanoid Sensing and Perception Lab, IIT, Italy
  *   Dr. Tapomayukh Bhattacharjee, Postdoc. Research Associate in Computer Science and Engineering, Uni. of Washington, US
  *   Dr. Robert Haschke, Senior Research Scientist in Neuroinformatic Institute, Bielefeld University, Germany
  *   Prof. Martin Kaltenbrunner, Prof. of the Institute of Soft Matter Physics at the Johannes Keppler University Linz, Austria
  *   Prof. Ravinder Dahiya, Professor of Electronics and Nanoengineering, the School of Engineering, University of Glasgow, UK,



Regards
Mohsen

---------
Dr.-Ing. Mohsen Kaboli
BMW research, AI and Robotic Center of Excellence
Tel: +49-89-382-96049
Mobile: +49-151-601-96049
Mail: mohsen.kaboli at bmwgroup.com<mailto:mohsen.kaboli at bmwgroup.com>
Web: https://scholar.google.com/citations?user=SXv_8m4AAAAJ&hl=en





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