====== KnowRob at ICRA 2018 ====== We are proud to announce that the second generation of the KnowRob has been presented at ICRA'18 in Brisbane Australia. KnowRob was first introduced in 2009 [1] where Tenorth and Beetz argue that autonomous robot control demands KR&R systems that address several aspects that are commonly not sufficiently considered in AI KR&R systems, such as that robots need a more fine-grained action representation. This was pointed out early by Tenorth and Beetz [2] when they argued that service robots should be able to cope with (often) shallow and symbolic instructions, and to fill in the gaps to generate detailed, grounded, and (often) real-valued information needed for execution. We have introduced the second generation of the KnowRob system at ICRA'18 [3] where the focus of development has shifted towards the integration of simulation and rendering techniques into a hybrid knowledge processing architecture. The rational is to re-use components of the control program in virtual environments with physics and almost photorealistic rendering, and to acquire experiential knowledge from these sources. Experiential knowledge, called //narrative enabled episodic memory// in KnowRob, is used to draw conclusions about what action parametrization is likely to succeed in the real world (e.g., through learning methods) -- this principle is inspired by the simulation theory of cognition [4]. The architecture blueprint for KnowRob 2.0 is depicted below. {{ :blog:knowledge-components3.png?direct&600 |}} Displayed components exist at least prototypically, and will be elaborated more in future publications. [1] Moritz Tenorth, Michael Beetz, "KnowRob – knowledge processing for autonomous personal robots", In: IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE, pp. 4261–4266, 2009. [2] Moritz Tenorth, Michael Beetz, "Representations for robot knowledge in the KnowRob framework", In: Artificial Intelligence, Elsevier, 2015. [3] Michael Beetz, Daniel Beßler, Andrei Haidu, et al., "KnowRob 2.0 – A 2nd Generation Knowledge Processing Framework for Cognition-enabled Robotic Agents". In: International Conference on Robotics and Automation (ICRA), 2018. [4] Germund Hesslow, "The current status of the simulation theory of cognition", In: Brain Research 1428, pp. 71–79, 2012. {{tag>}}