Control of a 2 DoF robot using a Brain-Machine Interface
作者： Enrique Hortal , Andrés Úbeda , Eduardo Iáñez , José M. Azorín
DOI: 10.1016/J.CMPB.2014.02.018
关键词: Computer vision 、 Robot 、 Artificial intelligence 、 Control (management) 、 Robot control 、 Computer science 、 Interface (computing) 、 Brain–computer interface 、 Simulation
摘要: In this paper, a non-invasive spontaneous Brain-Machine Interface (BMI) is used to control the movement of planar robot. To that end, two mental tasks are manage visual interface controls The robot PupArm, force-controlled designed by nBio research group at Miguel Hernandez University Elche (Spain). Two strategies compared: hierarchical and directional control. experimental test (performed four users) consists reaching targets. errors time during performance tests compared in both (hierarchical control). advantages disadvantages each method shown after analysis results. allows an accurate approaching goals but it slower than using which, on contrary, less precise. results show useful future, adding extra device like gripper, BMI could be assistive applications such as grasping daily objects realistic environment. order compare behavior system taking into account opinion users, NASA Tasks Load Index (TLX) questionnaire filled out sessions completed.
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