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teaching:gsoc2017 [2017/02/08 08:02] – liscateaching:gsoc2017 [2017/02/08 08:09] – [openEASE -- Experiment Knowledge Database] lisca
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 KnowRob is an open-source project hosted at [[http://github.com/knowrob|GitHub]] KnowRob is an open-source project hosted at [[http://github.com/knowrob|GitHub]]
 that also provides extensive documentation on its [[http://www.knowrob.org|website]] -- from getting-started guides to tutorials for advanced topics in robot knowledge representation. that also provides extensive documentation on its [[http://www.knowrob.org|website]] -- from getting-started guides to tutorials for advanced topics in robot knowledge representation.
 +
 +===== CRAM -- Robot Plans =====
 +
 +CRAM is a high-level system for designing and performing abstract
 +robot plans to define intelligent robot behavior. It consists of a
 +library of generic, robot platform independent plans, elaborate
 +reasoning mechanisms for detecting and repairing plan failures, as
 +well as interface modules for executing these plans on real robot
 +hardware. It supplies robots with concurrent, reactive task execution
 +capabilities and makes use of knowledge processing backends, such as
 +KnowRob, for information retrieval.
 +
 +CRAM builds on top of the ROS ecosystem and is actively developed as an
 +[[http://github.com/cram-code|open-source project on GitHub]].
 +It is the basis for high-level robot control in many parts of the
 +world, especially in several European research projects covering
 +applications from geometrically abstract object manipulation
 +(RoboHow), multi-robot task coordination and execution (SHERPA),
 +experience based task parametrization retrieval (RoboEarth), and safe
 +human robot interaction (SAPHARI).
 +Further information, as well as documentation and application
 +use-cases can be found at the [[http://www.cram-system.org/|CRAM
 +website]].
 +
 +===== openEASE -- Experiment Knowledge Database =====
 +
 +OpenEASE is a generic knowledge database for collecting and analysing experiment data. Its foundation is the KnowRob knowledge processing system and ROS, enhanced by reasoning mechanisms and a web interface developed for inspecting comprehensive experiment logs. These logs can be recorded for example from complex CRAM plan executions, virtual reality experiments, or human tracking systems. OpenEASE offers interfaces for both, human researchers that want to visually inspect what has happened during a robot experiment, and robots that want to reason about previous task executions in order to improve their behavior.
 +
 +The OpenEASE web interface as well as further information and publication material can be accessed through its publicly available [[http://www.open-ease.org/|website]]. It is meant to make complex experiment data available to research fields adjacent to robotics, and to foster an intuition about robot experience data.
 +
 +===== RoboSherlock -- Framework for Cognitive Perception =====
 +
 +RoboSherlock is a common framework for cognitive perception, based on the principle of unstructured information management (UIM). UIM has proven itself to be a powerful paradigm for scaling intelligent information and question answering systems towards real-world complexity (i.e. the Watson system from IBM). Complexity in UIM is handled by identifying (or hypothesizing) pieces of
 +structured information in unstructured documents, by applying ensembles of experts for annotating information pieces, and by testing and integrating these isolated annotations into a comprehensive interpretation of the document.
 +
 +RoboSherlock builds on top of the ROS ecosystem and is able to wrap almost any existing perception algorithm/framework, and allows easy and coherent combination of the results of these. The framework has a close integration with two of the most popular libraries used in robotic perception, namely OpneCV and PCL. More details about RoboSherlock can be found on the project [[http://robosherlock.org/|webpage]].
 +
  
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