PRS 2014 - Perceptive Robotics Symposium

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.