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Masterpraktikum - Autonomous Robots and Factory of Future (IN2106, IN4196)

Course 0000002443 in SS 2016

General Data

Course Type practical training
Semester Weekly Hours 6 SWS
Organisational Unit Informatics 6 - Chair of Robotics, Artificial Intelligence and Real-time Systems (Prof. Knoll)
Lecturers
Dates

Assignment to Modules

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks The factory of future will involve humans and robots working in close co-operation in the “fenceless cells”. This involves an intelligent FactoryFloor (FF) manager which can optimizes production plan and partly re-configures factory resources (Robots and humans) to manufacture customized products at low cost. The obvious challenge, irrespective of product being manufactured, is safety of humans. One of the approaches to guarantee the safety is to observe the entire factory floor using multiple sensors (cameras, lasers etc.) and detect risk scenarios (human approaching dangerously close to a moving robot). The smart sensors detect these scenarios and relay the information to FF manager. FF manager then takes necessary steps to avert the hazard. The intelligent robots (moving Robotinos to begin with) are assigned a task to pick and place objects following a particular path. The autonomous robots must recognize any risk scenarios locally and react intelligently (by either stopping or deviating from the predefined trajectory). The Robots must also react to control information relayed by the FF manager.
Links E-Learning course (e. g. Moodle)
TUMonline entry
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