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Towards Easy Robot Programming: Using DSLs, Code Generators and Software Product Lines
- in Proceedings of the 8th International Conference on Software Paradigm Trends (ICSOFT-PT 2013
, 2013
"... Abstract: Programming robots is a complicated and time-consuming task. A robot is essentially a real-time, distributed embedded system. Often, control and communication paths within the system are tightly coupled to the actual physical configuration of the robot. Thus, programming a robot can hardly ..."
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Abstract: Programming robots is a complicated and time-consuming task. A robot is essentially a real-time, distributed embedded system. Often, control and communication paths within the system are tightly coupled to the actual physical configuration of the robot. Thus, programming a robot can hardly be achieved by experts of the domain in which the robot is used. In this paper we present an approach towards a domain specific language, which is intended to empower domain experts or even end users to specify robot programs with a dedicated background in programming techniques, but not with special knowledge in the robotics domain. Furthermore we introduce an idea to integrate a software product-line for a hardware and software transparent plug and play mechanism. 1
A Geometrical Placement Planner For Unknown Sensor-Modelled Objects And Placement Areas
"... Abstract—A Personal Robot should be able to handle possible unknown objects in unknown environments. For a manipulation task the question what to do with an object once it had been grasped is one of the most essential ones beside the grasping task itself. We propose a placement planner for sensor-mo ..."
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Abstract—A Personal Robot should be able to handle possible unknown objects in unknown environments. For a manipulation task the question what to do with an object once it had been grasped is one of the most essential ones beside the grasping task itself. We propose a placement planner for sensor-modelled objects in complex environments. The planner computes a stable position and orientation for the object in the environment. The algorithm uses only geometric information, most notably no force or torque sensor is required. In particular, we introduce a novel approach regarding the configuration computation. By means of experiments with various household objects the robustness and performance are validated. Further on, we compare our approach to a configuration computation using a physics simulation framework. I.
