Bayesian Approach to Robot Group Control

Stipančić, Tomislav; Jerbić, Bojan; Ćurković, Petar

doi:10.1007/978-1-4614-2317-1_9

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…If a possibility of collision is detected, the planning routine can be invoked more than once to avoid collisions after initial planning. Features for web-based, real time monitoring and control of such a complex robotic setup, see for example [22, 23] are also considered for future research. This would further increase the safety of a system tending to be of a high level of autonomy.…”

Section: Discussionmentioning

confidence: 99%

Co-Evolutionary Algorithm for Motion Planning of Two Industrial Robots with Overlapping Workspaces

Ćurković

Jerbić

Stipančić

2013

International Journal of Advanced Robotic Systems

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A high level of autonomy is a prerequisite for achieving robotic presence in a broad spectrum of work environments. If there is more than one robot in a given environment and the workspaces of robots are shared, then the robots present a dynamic obstacle to each other, which is a potentially dangerous situation. This paper deals with the problem of motion planning for two six-degrees-offreedom (DOF) industrial robots whose workspaces overlap. The planning is based on a novel hall of famePareto-based co-evolutionary algorithm. The modification of the algorithm is directed towards speeding-up coevolution, to achieve real-time implementation in an industrial robotic system composed of two FANUC LrMate 200iC robots. The results of the simulation and implementation show the great potential of the method in terms of convergence, robustness and time.

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Section: Discussionmentioning

confidence: 99%

Co-Evolutionary Algorithm for Motion Planning of Two Industrial Robots with Overlapping Workspaces

Ćurković

Jerbić

Stipančić

2013

International Journal of Advanced Robotic Systems

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“…Built-in functionalities of the robot make use of state-of-the-art methods and strategies from artificial intelligence (AI) and HRI. These functionalities can provide a degree of situational embodiment, self-explainability, and context-driven interaction in order to increase interactivity, as explained in Jerbic et al., 2015 and Stipancic et al., 2013. Figure 1 depicts the WoO scenario where the teacher is presenting content using the robot as an interface.…”

Section: Introductionmentioning

confidence: 99%

Plea

Stipančić

Koren

Korade

et al. 2021

Journal of Pacific Rim Psychology

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An approach to the design of learning environments where a social robot plays a role of a teacher is discussed in this study. Built-in robot functionalities provide a degree of situational embodiment, self-explainability, and context-driven interaction. The concept of embodiment enables immersion of the teacher into distant 3D environments. In that way the level of mutual understanding between participants is increased compared to a 2D world. Moreover, the tools that accompany the interaction empower augmentation by revealing the additional information present in gestures, facial expressions, or gaze direction. We use three distinct sources fused in a multimodal approach (face emotion recognition, level of loudness, and body movement intensity). The change in one modality can change the overall system reasoning. The teacher can benefit from this information by adapting a presentation style and achieve a better rapport with students. The theoretical basis is provided by studies of human communication in psycholinguistics and social psychology. Usability evaluation is based on the Wizard of Oz approach, allowing a teacher to interact with students through an interface. The conducted experiments show encouraging responses. Future studies will show in what way and to what extent a cognitive robot can be truly effective in technology-enhanced learning.

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“…In their essence, they have to be flexible, reprogrammable, and as cheap as possible. Such prerequisites raise more issues affecting almost every contemporary industrial factory in the world: a lack of space, a rigidity of production systems, an increased overall degree of system complexity [1,2], etc. Programming of such systems requires a highly educated and experienced professional staff.…”

Section: Introductionmentioning

confidence: 99%

Stipancic, T.; Jerbic, B.; Bucevic, A. and Curkovic, P.: Programming an Industrial Robot by Demonstration

Stipančić¹,

Jerbić²,

Bucevic³

et al. 2012

Proceedings of the 23rd International DAAAM Symposium 2012

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The constant need for reducing production costs and faster arrival tothe market of new products requires changes in product design,material selection, and production processes. While applying the changes, a level of complexity of contemporary industrial systems is undoubtedly increasing. Despite the fact that industrial robotic systems are becoming more and more complex, they should become user-friendlier and easily accessible for human operators at the same time.Such systems should have a smaller number of welltrained and highly educated employees who manage the production.This paper present an approach in programming a robot for doing assembly tasks based on Programming by Demonstration principles. The system tracks gestures and movements of the human operator by using Microsoft Kinect ® sensor.To enable an interaction between the system and the human operator,a simple gesture command list is developed. This methodology could help non-expert users to teach robots how to perform new assembly tasks in more human like ways. The command list present a very first step in a development of more powerfulgesture language that should provide a simple and an intuitive way forexchaniging information between people and machines.

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Bayesian Approach to Robot Group Control

Cited by 5 publications

References 8 publications

Co-Evolutionary Algorithm for Motion Planning of Two Industrial Robots with Overlapping Workspaces

Co-Evolutionary Algorithm for Motion Planning of Two Industrial Robots with Overlapping Workspaces

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Stipancic, T.; Jerbic, B.; Bucevic, A. and Curkovic, P.: Programming an Industrial Robot by Demonstration

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