Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication 2013
DOI: 10.1145/2448556.2448641
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Teaching the robot by guidance using an exoskeleton device in assembly lines

Abstract: Robots used in industry rely on complex and time-consuming programming, such as a teaching panel and offline programming. Different intuitive programming methods have been proposed to overcome this drawback. A method using a force/torque sensor is practical and has been used in several organizations. However, problems, such as precision, have to be overcome in this method. This paper presents a method using an exoskeleton device that can overcome the problems based on robot teaching. Its usefulness is demonstr… Show more

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Cited by 1 publication
(2 citation statements)
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“…Except for the fourth joint, the stiffness and damping joint values are set very high. The task performed by the operator was to first move the fourth joint from its initial position q 4 As can be seen in Figure 6(a), constant admittance parameters give rise to a faster backwards joint motion when compared with the adapted parameters. They behavior is depicted in Figure 6(b) and 6(c).…”
Section: A Experiments 1: Decreasing the Felt Robot Resistancementioning
confidence: 99%
See 1 more Smart Citation
“…Except for the fourth joint, the stiffness and damping joint values are set very high. The task performed by the operator was to first move the fourth joint from its initial position q 4 As can be seen in Figure 6(a), constant admittance parameters give rise to a faster backwards joint motion when compared with the adapted parameters. They behavior is depicted in Figure 6(b) and 6(c).…”
Section: A Experiments 1: Decreasing the Felt Robot Resistancementioning
confidence: 99%
“…On the other side, contact forces are an explicit means of communication between the operator and the robot for the purpose of physical guidance (see Figure 1). This kind of interaction is suitable to teach a robot with human skills in the loop [4], and has been shown to perform in grasping tasks better than its automated counterpart [5].…”
Section: Introductionmentioning
confidence: 99%