[visionlist] [meetings] CFP, RoboTac 2023 WS, IROS 2023, Visuo-Tactile Perception, Learning, Control for Manipulation and HRI
Kaboli, M. (Mohsen)
mohsen.kaboli at donders.ru.nl
Mon Aug 7 16:35:04 -04 2023
RoboTac 2023
The 5th IEEE/RSJ International Workshop @ IROS2023
RoboTac2023: Visuo-Tactile Perception, Learning, Control for Manipulation and HRI
Emerging Data Driven Approach
October 1st , 2023
Detroit, USA
Workshop URL: https://www.robotact.de/robotac-2023
Call for Paper and Contributions
Important Dates:
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* Paper Submission Deadline: August 30, 2023 (Extended)
* Notification of Acceptance: September 5, 2023
* Camera-Ready Deadline: September 10 , 2023
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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 As we aim to encourage meaningful discussion in the tactile perception and learning domain, work that is unpublished, recently published or under review can be accepted for presentation depending on the novelty, significance and contributions of the work to the workshop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 RoboTac2023 | RoboTac (robotact.de)<https://www.robotact.de/robotac-2023>
Award: The outstanding papers and demos will receive awards from the BMW research, AI and Robotics Center of Excellence.
Organizers
* Prof. Mohsen Kaboli, director of RoboTac Lab, BMW Research & Radboud University, Germany
* Prof. Vincent Hayward (Late), the Institute for Intelligent Robotic, Sorbonne University, France
* Prof. Etienne Burdet, director of Human Robotic Lab, Imperial College London, UK
* Prof. Henrik Jörntell, director Neural Basis of Sensorimotor Control ,Lund University , Sweden
* Anirvan Dutta, Ph.D. Candidate BMW research, Germany
Speakers
* Prof. Allison Okamura Stanford University
* Prof. Antonio Bicchi, Istituto Italiano di Tecnologia Genoa, University of Pisa
* Prof. Kaspar Althoefer, Queen Mary University of London
* Prof. Fanny Ficuciello, Università degli Studi di Napoli Federico II
* Prof. Huaping Liu, Tsinghua University
* Prof. Alberto Rodriguez, MIT, USA
* Prof. Carmel Majidi, Carnegie Mellon University (CMU), USA
* Prof. Matei Ciocarlie, Columbia University
* Prof. Animesh Garg University of Toronto
* Prof. Benjamin Tee, National University of Singapore (NUS)
* Prof. Lorenzo Natale, Istituto Italiano di Tecnologia, Genoa
* Prof. Oliver Kroemer, Carnegie Mellon University (CMU)
* Prof. Gregory Gerling, University of Virginia
* Prof. Nima Fazeli University of Michigan
* Prof. Yesemin Vardar, TU Delft, The Netherlands
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
Regards
Mohsen
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Dr. Ing. Mohsen Kaboli
Professor of Embodied AI, Robotics & Tactile Intelligence
Director of RoboTac Lab and BMW AI
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>
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