Control for Camera of a Telerobotic Human Computer Interface

Abstract

Controlling remote robots is a difficult task for human computer interface (HCI). Control of remote robots enables accomplishment of tasks without the human controller physically present due to safety concerns or the expert cannot be physically present. This paper presents a method for using an Oculus Rift to improve HCI for telerobotic control. Using the Oculus, an operator could become immersed in the robot’s environment and could more naturally control the desired position of a remotely positioned vision system via head movements. To provide the appropriate visual feedback, a three-axis gimbal was implemented as a test platform. Through software implemented motion tracking, the response of the Oculus was compared to that of a mouse which demonstrates the efficiency of the proposed system over comparable HCI.

Motion Capture Technology in Industrial Applications: A Systematic Review

“…Six studies accompanied motion tracking technologies with EMG sensors [ 29 , 49 , 50 , 51 , 54 , 57 ], two with force plates [ 73 , 75 ], two with pressure mats [ 61 , 62 ] and one with instrumented shoes [ 73 ]. Two works also used the Oculus Rift virtual reality headset to remotely assess industrials locations and control robotic elements [ 39 , 43 ]. The tracking accuracy of the developed systems was directly assessed against gold-standard MoCap systems (e.g., Vicon or Optotrack; Table 8 , in bold) in six works [ 14 , 15 , 55 , 59 , 73 , 77 ], while the classification or identification accuracy of a process was frequently evaluated with visual inspection of video or phone cameras [ 15 , 29 , 36 , 44 , 60 , 63 , 69 ].…”