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teaching:gsoc2017 [2017/02/08 08:40] – [Topic 1: Multi-modal Cluttered Scene Analysis in Knowledge Intensive Scenarios] lisca | teaching:gsoc2017 [2017/02/08 08:49] – [Topic 3: ROS with PR2 integration in Unreal Engine] lisca | ||
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**Requirements: | **Requirements: | ||
+ | |||
+ | **Expected Results** We expect to be able to load URDF models of | ||
+ | varios robots (e.g. PR2) and be able to control them through ROS | ||
+ | in the game engine. In a similar fashion to a robotic simulator. | ||
+ | |||
+ | Contact: [[team/ | ||
+ | |||
+ | ==== Topic 3: ROS with PR2 integration in Unreal Engine ==== | ||
+ | |||
+ | {{ : | ||
+ | |||
+ | **Main Objective: | ||
+ | PR2 8 robot in [[https:// | ||
+ | |||
+ | **Task Difficulty: | ||
+ | level, as it requires programming skills of various frameworks (ROS, | ||
+ | Linux, Unreal Engine). | ||
+ | | ||
+ | **Requirements: | ||
+ | of the Unreal Engine API, ROS and Linux. Some experience in | ||
+ | robotics. | ||
**Expected Results** We expect to enhance our currently developed robot learning game with realistic human-like grasping capabilities. These would allow users to interact more realistically with the given virtual environment. Having the possibility to manipulate objects of various shapes and sizes will allow to increase the repertoire of the executed tasks in the game. Being able to switch between specific grasps will allow us to learn grasping models specific to each manipulated object. | **Expected Results** We expect to enhance our currently developed robot learning game with realistic human-like grasping capabilities. These would allow users to interact more realistically with the given virtual environment. Having the possibility to manipulate objects of various shapes and sizes will allow to increase the repertoire of the executed tasks in the game. Being able to switch between specific grasps will allow us to learn grasping models specific to each manipulated object. |
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
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