Designing an Intangible Tele-Interaction for Point-to-Point Robot Control Using Coercive Gesture Filtering

Abstract

Teleoperation of Kinematics has been a significant research in computation which can extend the interaction from tangible to intangible devices over a large distance. This work highlights the introduction of Leap Motion along with systematic algorithmic control of a remote device. Teleoperation can be tangible or intangible, the later being fast and efficient, provided the base for all data collection methodologies. In remote operation and kinematic controls from normal to hazardous condition, teleoperation can be significant technology used for maneuvering and controlling different devices. Optical sensors primarily Leap Motion have been incorporated for achieving it. It requires agile, algorithmic and optical control, so that robust control can be transmitted for remote operation along with the feedback. This proposed system uses a Leap Motion control interface for gesture classification along with the elimination of involuntary inputs. An involuntary gesture filter has been implemented to reduce ambiguity in the captured data. Data collection through intangible approaches is preferred and different ways are widely researched. Moreover, the intercommunication during the teleoperation process needs to be scaled for data transmission at high rates. For teleoperation-based tasks, information needs to be conveyed without data loss and with minimum response delay. So this study tries to establish optimum results for data transmission by testing several criteria on different inter-network communication protocols and then selecting the most suitable method of transmission of kinematics along with the elimination of unintended gestures.