KNOWROB — knowledge processing for autonomous personal robots

By Moritz Tenorth, Michael Beetz. 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

380 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/2d1a9d5df3362d6fee4c3f325c8036429072b0c8

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In Artificial Intelligence

Citations in the corpus

Robot task planning and explanation in open and uncertain worlds (2017, background): “Also, the KNOWROB architecture of Tenorth and Beetz [50] combines formal, encyclopaedic knowledge with observations from several perception modules, corresponding to our instance and default knowledge.”
The TUM Kitchen Data Set of everyday manipulation activities for motion tracking and action recognition (2009, methodology): “In our knowledge processing system, described in [18], this integration is solved using computable classes and properties.”
Robotic roommates making pancakes (2011, methodology): “Our robots use a semantic 3D object map of the environment in which structured models of objects, such as cupboards consisting of the container, the door, the handle and hinges, are associated with first-order symbolic descriptions of the objects that mainly come from the robot’s encyclopedic knowle”
Robot task planning and explanation in open and uncertain worlds (2015, background): “Also, the KNOWROB architecture of Tenorth and Beetz [50] combines formal, encyclopaedic knowledge with observations from several perception modules, corresponding to our instance and default knowledge.”
ROSPlan: Planning in the Robot Operating System (2015, background): “Tennorth et al have explored the connection between planning, execution and knowledge management in a significant body of work, including (Tenorth, Bartels, and Beetz 2014; Tenorth and Beetz 2009).”
Understanding and executing instructions for everyday manipulation tasks from the World Wide Web (2010, methodology): “embedded into the knowledge representation as described in [16].”
Artificial cognition for social human-robot interaction: An implementation (2017, methodology): “Contrary to similar projects like KnowRob [33] that relies on the concept of computables to lazily evaluate / acquire symbolic facts when needed, we have an explicit approach where we greedily compute and assert symbolic statements (like spatial relations between objects, see Section 3.2).”