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Cited by 31 publications
(12 citation statements)
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“…This section will discuss research covered by academia related to vision-guided robotic systems. (Šuligoj, Šekoranja, Švaco, & Jerbić, 2014) proposed object tracking with 2 robots and stereo vision cameras. The problem was addressed by using 3 points on the part pallets used to track the object with the vision system.…”
Section: Academiamentioning
confidence: 99%
“…This section will discuss research covered by academia related to vision-guided robotic systems. (Šuligoj, Šekoranja, Švaco, & Jerbić, 2014) proposed object tracking with 2 robots and stereo vision cameras. The problem was addressed by using 3 points on the part pallets used to track the object with the vision system.…”
Section: Academiamentioning
confidence: 99%
“…For example, the object handling task, the lessons learned by the robots on choosing between the predefined behaviors aboriginal, approaching releasing and carrying an object for particular step. However, this method can be applied to a dynamic object handling behavior [16]. In this study, decentralized control implementing neural network method in cooperative tasks, rather than using sensors the same as other experiments, for balancing the object position, velocity and manipulations utilizing a robot arm are experimented.…”
Section: Introductionmentioning
confidence: 99%
“…In modern production systems, the integration between advanced sensor systems and robotic technology is preferred because it allows easy adaptation to different tasks when there is a high probability of product changes, and because of the introduction of the mass customization instead of the mass production principle. Some of the advanced sensor systems that can be integrated with robotic systems include 2D and 3D vision systems [2], force and torque sensors [3] or special M. Švaco, N. Vitez, Tuning of Parameters for Robotic Contouring B. Šekoranja, F. Šuligoj Based on the Evaluation of Force Deviation capacitive sensors that cover the whole robot body (having a function of detecting the presence of human workers) [4]. Today, industrial robotics is facing the challenge of high accuracy demands.…”
Section: Introductionmentioning
confidence: 99%