The presented paper presents a method to control a 6-degree-of-freedom robot manipulator using computer vision as micro-electro-mechanical systems input. Using this technology, we manage to extract 3D information regarding human hand position and orientation and pass it to the robot. The main advantages are: providing a natural and easy to use interaction manner, fast setup and a simplified usage learning curve for the user.
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Control a 6DOF Anthropomorphic Robotic Structure with Computer Vision as MEMS Input
Semantic Scholar · Engineering · 2019
Abstract
The presented paper presents a method to control a 6-degree-of-freedom robot manipulator using computer vision as micro-electro-mechanical systems input. Using this technology, we manage to extract 3D information regarding human hand position and orientation and pass it to the robot. The main advantages are: providing a natural and easy to use interaction manner, fast setup and a simplified usage learning curve for the user.