knowrob.org
blog:auto-generated_api_documentation - KnowRob
http://www.knowrob.org/blog/auto-generated_api_documentation
As part of a recent effort to update the KnowRob documentation, we have included auto-generated API documentation. Into the KnowRob wiki and increased the documentation coverage to all exported predicates of all modules in the core KnowRob stack and several packages in knowrob addons and knowrob dev. The documentation is generated automatically from structured comments in the source code using the pldoc. By the way, KnowRob includes a wrapper for pldoc that facilitates the generation of. 160; .
mvp.visual-navigation.com
Project Pages
http://mvp.visual-navigation.com/cotesys425.html
Machine Vision and Perception Group (MVP@TUM). Supporting Cognitive Processes on Mobile Platforms Using Joint Geometry-Based and Image-Based Environment Modeling. VEM (Visual Environment Modeling) is a project supported in part within the DFG excellence initiative research cluster Cognition for Technical Systems - CoTeSys. First results of following tasks are already available:. Visual surprise trigger based on bayesian inference. Further work aims on following topics:. Robot-robot joint model generation.
mvp.visual-navigation.com
Project Pages
http://mvp.visual-navigation.com/cotesysxxx.html
Machine Vision and Perception Group (MVP@TUM). Taskflow recognition in everyday manipulation tasks. Training task-flow monitoring systems from unsupervised performance data is a very promising research area at the core of activity recognition systems targeting everyday manipulation tasks. The four principal investigators bring in unique and complementary competences and resources for the successful achievement of this project’s research goals. These goals are threefold:. State of the Art. Numerous works o...
ramcip-project.eu
Related Projects | RAMCIP
http://www.ramcip-project.eu/ramcip/related-projects
Skip to main content. Robotic Assistant for MCI Patients at home. The project develops an Interactive Urban Robot exploring cities by interacting with the pedestrians asking the way: understands natural speech, gestures and emotions of the human, navigates autonomously in crowded environments. Http:/ www.iuro-project.eu/. Http:/ piros.web.auth.gr/. Http:/ www.en-noisis.gr/ennoisis/. Http:/ www.shadowrobot.com/products/dexterous-hand/. Http:/ www.pelars.eu/. Http:/ www.cotesys.org/. SKILLS is an Integrate...
cram-system.org
installation - CRAM
http://www.cram-system.org/installation
Get ready for development. This is a guide for installing the main CRAM packages. It covers installing the packages you need to get the system up and running to the point where you can run and test it in a simulation mode. Setting up the system on a real robot is more complex (mostly involving the usual ROS-based platform setup) and is out of scope of this guide. The recommended setup is Ubuntu 14.04 LTS with ROS Indigo. This is the setup under which the CRAM team is working and it is best supported.
cram-project.org
support - CRAM
http://www.cram-project.org/support
Before asking a question, please first have a look at the documentation. And in particular the FAQ. Section on this web site. Also have a look at the archives on answers.ros.org. To see whether similar questions have been asked before. The preferred way of asking for suppport is via http:/ answers.ros.org. This page collects all ROS-related questions and archives the answers, thereby creating an automatically updated. That is used for important announcements around the CRAM system. 160; Sitemap.
cram-project.org
user:admin - CRAM
http://www.cram-project.org/user/admin
This topic does not exist yet. You've followed a link to a topic that doesn't exist yet. If permissions allow, you may create it by clicking on Create this page . 160; Sitemap. Template based on prsnl10. The development of CRAM has received funding from the following projects:. Except where otherwise noted, content on this wiki is licensed under the following license:. CC Attribution-Share Alike 3.0 Unported.
cram-project.org
blog:suturodemonstration - CRAM
http://www.cram-project.org/blog/suturodemonstration
Successful demonstration by bachelor project SUTURO. Our bachelor project SUTURO. Is making excellent progress: The project, partly self-organized by 14 Bachelor students, aims at teaching a PR2 robot to tidy up a kitchen. This involves very challenging tasks in robot perception, manipulation and grasping, task-level coordination and knowledge representation to recognize objects, infer where they shall be put, and interact with them in the appropriate way. 160; Sitemap. 160; Old revisions.
cram-system.org
user:jan_winkler - CRAM
http://www.cram-system.org/user/jan_winkler
AI and Robotics researcher, PhD student, and Lisp hacker at University of Bremen. Mostly working on cram pr2. Also, a PR2 aficionado. More information, including contact details. 160; Sitemap. 160; Old revisions. Template based on prsnl10. 160; Last edited by winkler. The development of CRAM has received funding from the following projects:. Except where otherwise noted, content on this wiki is licensed under the following license:. CC Attribution-Share Alike 3.0 Unported.
