scholarly journals Aspects of Microsoft Kinect sensor application to servomotor control

2014 ◽  
Vol 62 (3) ◽  
pp. 595-601 ◽  
Author(s):  
M. Parzych ◽  
A. Dabrowski ◽  
D. Cetnarowicz

Abstract This paper presents the design process of a gesture control system based on the Microsoft Kinect sensor. An environment enabling implementation of the integrated system using a variety of equipment and software was selected and prepared. A method for integrating the sensor with the Arduino environment has also been discussed. Algorithms for remote gesture control of the given servodrive angle and the position of the robot arm gripper were prepared. The results of several experiments, which were carried out in order to determine the optimal method for starting, controlling, and stopping the drive and for assessment of the accuracy of the proposed method for the arm control, are presented.

Author(s):  
D. Pagliaria ◽  
L. Pinto ◽  
M. Reguzzoni ◽  
L. Rossi

Since its launch on the market, Microsoft Kinect sensor has represented a great revolution in the field of low cost navigation, especially for indoor robotic applications. In fact, this system is endowed with a depth camera, as well as a visual RGB camera, at a cost of about 200$. The characteristics and the potentiality of the Kinect sensor have been widely studied for indoor applications. The second generation of this sensor has been announced to be capable of acquiring data even outdoors, under direct sunlight. The task of navigating passing from an indoor to an outdoor environment (and vice versa) is very demanding because the sensors that work properly in one environment are typically unsuitable in the other one. In this sense the Kinect could represent an interesting device allowing bridging the navigation solution between outdoor and indoor. In this work the accuracy and the field of application of the new generation of Kinect sensor have been tested outdoor, considering different lighting conditions and the reflective properties of the emitted ray on different materials. Moreover, an integrated system with a low cost GNSS receiver has been studied, with the aim of taking advantage of the GNSS positioning when the satellite visibility conditions are good enough. A kinematic test has been performed outdoor by using a Kinect sensor and a GNSS receiver and it is here presented.


Author(s):  
D. Pagliari ◽  
L. Pinto ◽  
M. Reguzzoni ◽  
L. Rossi

Since its launch on the market, Microsoft Kinect sensor has represented a great revolution in the field of low cost navigation, especially for indoor robotic applications. In fact, this system is endowed with a depth camera, as well as a visual RGB camera, at a cost of about 200$. The characteristics and the potentiality of the Kinect sensor have been widely studied for indoor applications. The second generation of this sensor has been announced to be capable of acquiring data even outdoors, under direct sunlight. The task of navigating passing from an indoor to an outdoor environment (and vice versa) is very demanding because the sensors that work properly in one environment are typically unsuitable in the other one. In this sense the Kinect could represent an interesting device allowing bridging the navigation solution between outdoor and indoor. In this work the accuracy and the field of application of the new generation of Kinect sensor have been tested outdoor, considering different lighting conditions and the reflective properties of the emitted ray on different materials. Moreover, an integrated system with a low cost GNSS receiver has been studied, with the aim of taking advantage of the GNSS positioning when the satellite visibility conditions are good enough. A kinematic test has been performed outdoor by using a Kinect sensor and a GNSS receiver and it is here presented.


2017 ◽  
Vol 26 (12) ◽  
pp. e382-e389 ◽  
Author(s):  
James D. Wilson ◽  
Jennifer Khan-Perez ◽  
Dominic Marley ◽  
Susan Buttress ◽  
Michael Walton ◽  
...  

2012 ◽  
Vol 19 (2) ◽  
pp. 4-10 ◽  
Author(s):  
Zhengyou Zhang

2020 ◽  
pp. 114179
Author(s):  
Lourdes Ramirez Cerna ◽  
Edwin Escobedo Cardenas ◽  
Dayse Garcia Miranda ◽  
David Menotti ◽  
Guillermo Camara-Chavez

2022 ◽  
Author(s):  
Madhav Rao

This study examines the system integration of a game engine with robotics middleware to drive an 8 degree offreedom (DoF) robotic upper limb to generate human-like motion for telerobotic applications. The developed architectureencompasses a pipeline execution design using Blender Game Engine (BGE) including the acquisition of real humanmovements via the Microsoft Kinect V2, interfaced with a modeled virtual arm, and replication of similar arm movements on the physical robotic arm. In particular, this study emphasizes the integration of a human “pilot” with ways to drive such a robotic arm through simulation and later, into a finished system. Additionally, using motion capture technology, a human upper limb action was recorded and applied onto the robot arm using the proposed architecture flow. Also, we showcase the robotic arm’s actions which include reaching, picking, holding, and dropping an object. This paper presentsa simple and intuitive kinematic modeling and 3D simulation process, which is validated using 8-DoF articulated robot to demonstrate methods for animation, and simulation using the designed interface.


Sensors ◽  
2017 ◽  
Vol 17 (2) ◽  
pp. 286 ◽  
Author(s):  
Ali Al-Naji ◽  
Kim Gibson ◽  
Sang-Heon Lee ◽  
Javaan Chahl

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