Journal
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
Volume 12, Issue 3, Pages 3909-3919Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s12652-020-01738-0
Keywords
Voice recognition; Robot; Multimodal feedback; Human-robot interface; Semantic robotic interface; Welding; Tensile strength
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The novel method of robot system is designed to control the robot manipulator by human voice, aiming to access hazardous environments. Several experiments are conducted using robot speech with multimodal feedback of different operators as end users. Additionally, the study examines tensile strength and trajectory planning algorithms for efficient welding using manual and speech recognized robot welding.
The novel method of robot system is designed to control the robot manipulator by human voice. The sensor signals control the manipulator in a robotic manipulator arm. The purpose of design of this concept is to access the robotic system in hazardous environments. Several experiments are conducted and studied using robot speech with multimodal feedback of different operators as end users. The work was designed and developed to weld the products using speech recognition. Voice data collected and program developed to recognize and store the voice data of different users and interface this data to the robot. The tensile strength was examined using manual and speech recognized robot welding. Trajectory planning algorithms of the robot is generated efficient welding where the end effectors carrying the welding torch trace a path.
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