A 3D Spectroscopic Vision-based Control Technique for Bilateral Systems

Abstract

Visual servoying is an active and popular area of research among roboticists. Eventhough viual servo techniques enhance the perfomance, the associated systems still use traditional methods for their input control. Many research activities and applications have been carried out to implement effective and precise controlling of bilateral systems. This paper presents a 3D spresctroscope-based control technique for bilateral systems. The effectiveness of the available master side designs are evaluated against gesture-based techniques. Joystick control, Electromyography (EMG) ,Voice control, Haptic control, Exoskeleton control, Gesture and Brain Control Interface (BCI) are identified in the litreature as available bilateral inputs. In the present technnique, we have introduced Leap Motion Controller (LMC) to extrat the human hand gestures and their parameters. Then these parameters are convereted into respective joint sapce angles using the presented mathematical model. The mathematical models for fingertip mapping, inverse kinematics, dynamics and trajectory generation are implemented and studied. Wolfman Mathematica 10 and MATLAB simulation framework are used to validate the mathematical models, simulations and developed control algorithms. The developed system has sucesfully imitated the fingertip motion. In particular, the system has been able to imitate the figretip motion with a deviation of 6.7 % in X axis, 5.5% in Y axis and 7.9% in Z axis with respect to the expected position.