On the representation and estimation of spatial uncertainly
International Journal of Robotics Research
How smart are our environments? An updated look at the state of the art
Pervasive and Mobile Computing
Towards 3D Point cloud based object maps for household environments
Robotics and Autonomous Systems
Exploiting the FAMOUSO middleware in multi-robot application development with Matlab/Simulink
Proceedings of the ACM/IFIP/USENIX Middleware '08 Conference Companion
Model-based and learned semantic object labeling in 3D point cloud maps of kitchen environments
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Reliable fault-tolerant sensors for distributed systems
Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems
Visualization of robot's awareness and perception
Proceedings of the First International Workshop on Digital Engineering
Automated construction of robotic manipulation programs
Automated construction of robotic manipulation programs
Mental imagery for a conversational robot
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
SAFECOMP'12 Proceedings of the 2012 international conference on Computer Safety, Reliability, and Security
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Adaptability to changing environments and environmental conditions is a key concern for future smart applications. Therefore, for autonomous systems it will be necessary to extend the local view on the environment with external sensors, either fixed or mobile ones. New evolving technologies support the acquisition of a myriad of information, described as "Internet of Things", "Intelligent Environments", "Industrial or Building Automation", "Ambient Intelligence", or "Ubiquitous/Pervasive Computing", etc. Thus, information is always available, but its interpretation and integration into the own view remains an open problem. We therefore propose the development of a new type of distributed middleware for the environmental perception, that abstracts the environment from the diversity of available sensor systems. In three steps we describe how more and more functionalities can be extracted from the control application to support artificial perception and environment modelling.