posted by user: sbosse || 6871 views || tracked by 16 users: [display]

SYSINT-PERROB 2014 : Perceptive Robotics Embedded Symposium - 2nd Int. Conf. on System-Integrated Intelligence

FacebookTwitterLinkedInGoogle

Link: http://www.sysint-conference.org/satelliteevents.html
 
When Jul 2, 2014 - Jul 4, 2014
Where Bremen, Germany
Submission Deadline Feb 21, 2014
Notification Due Apr 1, 2014
Final Version Due May 1, 2014
Categories    robotics   artificial intelligence   sensor networks   multi-agent systems
 

Call For Papers

NEW === !! SUBMISSION OF FULL PAPERS STILL OPEN !! === NEW
Full papers can be still submitted without prior abstract submission until 21.2.2014. Acceptance decision will base on full paper submission.


Perceptive Robotics Embedded Symposium organized by
Prof. Dr. Frank Kirchner (DFKI RIC)
Prof. Dr. Michael Beetz (TZI, University of Bremen)
Dr. Stefan Bosse (WG Robotics, University of Bremen)

Topics of interest include, but are not limited to:

o Technologies for autonomous robots with advanced material- or structure-embedded perceptive capabilities like tactile sensing or sensorial structures.
o Development, application and electro-mechanical design of sensor networks in robot structures like tactile sensor arrays (artificial skin) embedded in robot hands/grippers.
o Robot control architectures, methods & algorithms using low-level perception provided by embedded sensor networks and linking perception with action.
o Adv. distributed/parallel data processing & communication in control architectures incorporating low-level perception, like data pre-processing on sensor node/micro-chip level.
o Biologically-inspired methods & architectures performing data pre-processing, reduction, filtering and computation of high-level information in large-scale sensor networks.
o Integrated data fusion of high-level perception like vision with raw low-level sensor data from embedded sensor networks using machine learning, neural networks, neuro-biological methods or evolutionary algorithms.
o Development of autonomous machines navigating independently without external reference.
o Machine/reinforcement learning methods for application in robot control enhancing autonomy.

Related Resources

RTAS 2023   29th IEEE Real-Time and Embedded Technology and Applications Symposium
PAKDD 2023   The 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining
FLAIRS 2023   FLAIRS-36 2023 : The 36th International FLAIRS Conference
ICCV 2023   International Conference on Computer Vision
IJCNC 2022   Special Issue on: Intelligent Networks, Communication and Mobility for Mobile Internet of Things
SIUSAI 2023   2023 International Symposium on Intelligent Unmanned Systems and Artificial Intelligence (SIUSAI 2023)
Machines - SI 2023   Special Issue - Advances in Digital Twin Technology in the Manufacturing Field
ACM-Ei/Scopus-CWCBD 2023   2023 4th International Conference on Wireless Communications and Big Data (CWCBD 2023) -EI Compendex
CRET--Ei 2023   2023 International Conference on Control, Robotics Engineering and Technology (CRET 2023)
CDC 2023   IEEE Conference on Decision and Control