[visionlist] [meetings] Workshop at IROS2019, Toward Cognitive Vehicles: Perception, learning and decision making under real-world constraints. Is bio-inspiration helpful?

[Mohsen.Kaboli at bmwgroup.com]

IEEE International Workshop at IROS2019
Toward Cognitive Vehicles:
Perception, learning and decision making under real-world constraints. Is bio-inspiration helpful?

November 8, 2019 - IEEE/RSJ International Conference on Intelligent Robots and Systems - Macau, China
https://cogvehicles2019.github.io


Workshop Description

While biological inspiration has led to some of the most successful approaches in perception and machine learning in form of deep neural networks, their deployment in real-world, safety-critical settings is yet limited. We aim to explore and critically discuss what biological inspiration in perception, learning, and “cognition" could bring in the future for increasing intelligence of vehicles and other robotic systems.  The workshop will stimulate discussion of the role of biological inspiration in the development of future AI systems in the context of real-world, safety-critical applications of robotic systems in environments shared with humans:  https://cogvehicles2019.github.io



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Call for Papers
We invite contributions in the form of extended abstracts (min. 2 pages, max. 4 pages) in IEEE paper format to be presented at the workshop as posters and/or demos. Please follow the authors guidelines<http://ras.papercept.net/conferences/support/support.php> and use the LaTex <http://ras.papercept.net/conferences/support/tex.php> or MS Word <http://ras.papercept.net/conferences/support/word.php> templates for the IROS conference<https://www.iros2019.org/>. Outstanding contributions will be selected for oral presentations.
We plan to publish extended versions of the papers accepted to the workshop as an article collection around the research topic of Towards Cognitive Vehicles: perception, learning and decision making under real-world constraints. Is bio-inspiration helpful? in Frontiers in Neurorobotics<https://www.frontiersin.org/journals/neurorobotics>. Additionally, accepted papers and eventual supplementary material will be made available on the workshop website.
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Important Dates:


  *   Initial submission:    20.08.2019

·         Notification of acceptance: 01.09.2019
·         Camera-ready deadline:    10.09.2019
·         Workshop day:    08.11.2019
Submission
Please submit your contribution via EasyChair<https://easychair.org/conferences/?conf=tcv2019>.
Award:
Outstanding posters and demos will receive awards.
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Topics of Interest:

Perception


  *   Robust accountable and scalable perception with neural networks and without
  *   Multi-modal perception and sensory integration
  *   Attention and cognitive control in visual and tactile perception
  *   Gesture recognition
  *   Perception for action

Learning


  *   Machine learning for vehicles
  *   Fast inference and learning
  *   Online learning and reliability
  *   Embedded machine learning
  *   Learning in complex hierarchical control systems

Cognitive Architectures


  *   Cognitive architectures and machine learning / neuronal networks
  *   Cognitive architectures for action selection
  *   Scalable cognitive architectures
  *   Learning cognitive architectures

Applications


  *   Intelligent vehicles (cars, UAVs,…)
  *   Human-machine interaction
  *   Intelligence in the cockpit

Organisers:


  *   Dr. Yulia Sandamirskaya: Institute of Neuroinformatics, UZH/ETH Zurich
  *   Florian Mirus: AI, Robotics, & Cognitive Systems; BMW Research
  *   Dr.-Ing. Mohsen Kaboli: AI, Robotics, & Cognitive Systems; BMW Research
  *   Dr. Nicolai Waniek: Reinforcement Learning and Planning, Bosch Center for Artificial Intelligence (BCAI)
  *   Prof. Jörg Conradt: Computational Science and Technology, KTH, Stockholm



Regards
Mohsen

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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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