3D mapping using a ToF camera for self programming an industrial robot
Automated Offline Programing (AOLP) is a cost effective robot programming method. However, it relies on accurate CAD information of the work environment to perform optimally. Incorrect CAD data is a known source of error for AOLP systems. This paper introduces a new sensor based method of programming that extends the concept of AOLP. Using a ToF camera to map the environment, there is no reliance on CAD data. The problem of motion planning to efficiently map the environment is examined and changes to the motion planning algorithm are proposed and tested.
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