Motion planning of dual-arm robot using Principal motion directions.
This work deals with the problem of simplifying the motion planning of anthropomorphic robot with two arms. The proposed solution reduces the dimension of the search space to simplify the problem. This reduction is performed using the concept of Principal Motion Directions (PMD), that are obtained applying the Principal Component Analysis (PCA) to samples of robot movements, obtained from real movements of two human arms while doing a specific task. Using this reduction, a solution to the problem of motion planning is obtained in a more efficient way. To sum up, the steps included in this approach are: the capture of the work space for two human arms doing a task by means of trackers; reduction of the planning space dimension by means of the use of principal motion directions; and planning of the movement of two anthropomorphic robotic arms using a sampling-based roadmap planner considering the principal motion directions.
In this work, we have implemented a tool to obtain the Principal motion directons associated to a determinated task. This is done through the following steps: