Zdenko Bobovský
Technical University of Ostrava
59 Papers
98 Citations
Zdenko Bobovský is an academic researcher from Technical University of Ostrava. The author has contributed to research in topics: Computer science & Robot. The author has an hindex of 5, co-authored 45 publications.
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Papers
Self-Reconfigurable Modular Robotic System
Zdenko Bobovský,František Trebuňa,Juraj Smrček +2 more
- 31 Oct 2012
TL;DR: An algorithm based on transformation matrixes (TM), an accuracy and a functionality was verified in mathematical programs MathCad® and than in a first application created in Matlab® to simulate the behaviour of the self-reconfigurable modular system.
Analysis of Precision and Stability of Hand Tracking with Leap Motion Sensor.
Aleš Vysocký,Stefan Grushko,Petr Oščádal,Tomáš Kot,Ján Babjak,Rudolf Jánoš,Marek Sukop,Zdenko Bobovský +7 more
TL;DR: Evaluating the sensor’s real-world performance by measuring the localisation deviations of the hand being tracked as it moves in the workspace and the accuracy of the detected palm and finger”s position.
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Improved Pose Estimation of Aruco Tags Using a Novel 3D Placement Strategy
Petr Oščádal,Dominik Heczko,Aleš Vysocký,Jakub Mlotek,Petr Novák,Ivan Virgala,Marek Sukop,Zdenko Bobovský +7 more
TL;DR: This paper extends the topic of monocular pose estimation of an object using Aruco tags imaged by RGB cameras by designing and developing a library to combine the pose data from the individual tags for both higher accuracy and stability.
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Improved Mutual Understanding for Human-Robot Collaboration: Combining Human-Aware Motion Planning with Haptic Feedback Devices for Communicating Planned Trajectory.
TL;DR: In this paper, a human-machine interface is proposed to communicate the robot's intentions to a human worker. But the human worker cannot effectively plan own activity without forcing the robot to constantly replan its movement.
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Intuitive Spatial Tactile Feedback for Better Awareness about Robot Trajectory during Human-Robot Collaboration.
TL;DR: In this article, the authors extend the previously proposed approach of improving mutual perception during human-robot collaboration by communicating the robot's motion intentions and status to a human worker using hand-worn haptic feedback devices.
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